February 2020 - Random - Mailing list — Dipartimento di Matematica, UniPI

Concorso da RTDb di MAT/06 a Padova - scadenza 25/8/2016
by Marco Ferrante 25 Jun '24

25 Jun '24

Cari colleghi, vi segnalo che il Dipartimento di Matematica dell'Università di Padova ha bandito un posto di ricercatore di tipo B nel settore MAT/06. Il bando è disponibile alla pagina http://www.math.unipd.it/it/news/?id=1898 La scadenza per la presentazione delle domande è il 25 agosto 2016. Marco Ferrante

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ECSO - CMS 2020 deadline extension
by Martina Nardon 06 Mar '20

06 Mar '20

_Deadline extension_ Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference Venice 1-3 July 2020 We invite you to participate and submit your contribution to the joint conference ECSO - CMS 2020. Venue: Department of Economics, Ca' Foscari University of Venice San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy Webpage: www.unive.it/ecsocms2020 IMPORTANT DATES Abstract submission: *March 31, 2020* Notification of acceptance: *April 20, 2020* Early registration: *April 30, 2020* ECSO - CMS 2020 is jointly organized by the Department of Economics of Ca' Foscari University of Venice, the CMS Journal and the EURO Working Group on Stochastic Optimization. ECSO 2020 is the 3rd edition of a stream of conferences organized by the EURO Working Group on Stochastic Optimization (EWGSO). The previous editions were held in Paris (2014) and Rome (2017). The scope of the conference is to bring together researchers and professionals in Stochastic Optimization and its applications in different fields spacing from economics and finance to supply chain, logistics, etc. CMS 2020 is the 17th edition of an annual meeting associated with the journal of Computational Management Science published by Springer. The aim of the conference is to provide a forum for theoreticians and practitioners from academia and industry to exchange knowledge, ideas and results in a broad range of topics relevant to the theory and practice of computational methods in management science. This joint event will provide a forum for fruitful discussions and interactions among researchers and professionals from industry and institutional sectors on decision making under uncertainty in a complex world. The conference will be within the scopes of both CMS and EWGSO and, in particular, it will focus on models, methods and computational tools in stochastic, robust and distributionally robust optimization and on computational aspects of management science with emphasis on risk management, valuation problems, measurement applications. Traditional fields of application, such as finance, energy, water management, logistics, supply chain management, and emerging ones, such as healthcare, climate risk and sustainable development, will be included. A Best Student Paper Prize of 600 euro will be awarded. Papers should be nominated via e-mail by the students' supervisors (ecsocms2020(a)unive.it) Deadline for the submissions to the prize is May 15. The program will include a devoted session for presenting the best papers to compete for the prize, such that the jury could make the final choice. The paper does not have to be published. The papers should be principally authored by the student, but co-authors are permitted as long as their contributions are clarified. Only registered participants' papers will be considered for the prize. Jury for the Student Best Paper Prize: Stein-Erik Fleten (NTNU Norwegian University of Science and Technology), Milos Kopa (Charles University of Prague), Francesca Maggioni (University of Bergamo), Ruediger Schultz (University Duisburg-Essen). PLENARY SPEAKERS DARINKA DENTCHEVA, Stevens Institute of Technology (USA) DAVID MORTON, Northwestern University (USA) GAH-YI BAN, London Business School (UK) DANIEL KUHN, École polytechnique fédérale de Lausanne (CH) GIORGIO CONSIGLI, Università di Bergamo (I) WARREN POWELL, Princeton University (USA) Conference Secretariat: ecsocms2020(a)unive.it Conference hashtag: #ecsocms2020 Best Regards, Diana Barro, Stein-Erik Fleten and Martina Nardon Organizing and Program Committee Chairs -------------------------------------- Dr. Martina Nardon Dipartimento di Economia Università Ca' Foscari Venezia San Giobbe - Cannaregio, 873 30121 Venezia, Italy tel. +39 041 234 7413 --------------------------------------

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Fwd: 2-Year Lecturership in Mathematics (Probability), University College Dublin
by Elia Bisi 29 Feb '20

29 Feb '20

FYI ______________________ Elia Bisi Research Scientist School of Mathematics and Statistics University College Dublin Personal webpage <https://eliabisi.wordpress.com/> > Begin forwarded message: > > From: Neil O'Connell <neil.oconnell(a)ucd.ie> > Subject: 2-Year Lecturership in Mathematics (Probability), University College Dublin > Date: 27 February 2020 at 05:35:35 GMT-6 > To: Neil O'Connell <neil.oconnell(a)ucd.ie> > > Dear Colleagues, > > University College Dublin is seeking to appoint a Lecturer/Assistant Professor in Mathematics in the UCD School of Mathematics & Statistics, specifically in the area of Probability. Applications in related areas are also very welcome, especially random matrices and algebraic/enumerative combinatorics. > > It is a 2-year post, commencing on 1st September 2020. The salary scale is €34,065 - €59,788 per annum. > > For further details, and to apply, go to https://www.ucd.ie/workatucd/jobs/ <https://www.ucd.ie/workatucd/jobs/>(search under 'External Applicants'). > > The application period will close at 17:00hrs (local Irish time) on 24th March 2020. > > Please forward to anyone who might be interested. > > Best regards, > Neil

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CALL for the 2nd MSP
by Rigo Pietro 28 Feb '20

28 Feb '20

We are pleased to announce the 2nd Workshop on *The Mathematics of Subjective Probability (MSP2020)* to be held in Milano, on 2-4 september 2020 at Università Milano-Bicocca. Plenary speakers will be: Nabil A-NAJJAR, Kellog, Northwestern; Bhaskara-Rao KOPPARTY, Indiana University Northwest; Pierpaolo BATTIGALLI, Università Bocconi; Giulianella COLETTI, Università di Perugia; Massimo MARINACCI, Università Bocconi; Frank RIEDEL, University of Bielefeld. More information, including a non exhaustive list of topics, are available at the conference website, https://www.msp2020.campus.unimib.it/ <https://www.msp2020.campus.unimib.it/home> We invite all researchers in the areas of probability, statistics, economics, game theory to submit papers for presentation at the Workshop. *Important dates*: March 1, Submission starts; July 15, Acceptance notification; March 1, Registration starts THE ORGANIZING COMMITTEE: Gianluca Cassese (Università Milano-Bicocca); Pietro Rigo (Università di Bologna); Barbara Vantaggi (Università La Sapienza, Roma).

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Fwd: Fw: Equilibrium Conference
by Tiziano De Angelis 27 Feb '20

27 Feb '20

Ricevo ed inoltro l'annuncio della conferenza riportato di seguito. Cordialmente Tiziano ------------------------------ *From:* Muhle-Karbe, Johannes <j.muhle-karbe(a)imperial.ac.uk> *Sent:* 24 February 2020 17:57 *To:* Tiziano De Angelis <T.DeAngelis(a)leeds.ac.uk> *Subject:* Equilibrium Conference Dear Tiziano, I hope this email finds you well! Together with Kostas Kardaras and Daniel Schwarz, I am organising a conference on *Equilibrium Theory — Economic, Financial and Mathematical Aspects* https://sites.google.com/view/equilibriumtheory/ The conference will take place at *UCL* on *6-7 April 2020*. Attendance is free, but registration on the website is required. If this is interesting for you or some of your colleagues at Leeds, we would be happy to see you there! All the best, Johannes Johannes Muhle-Karbe Chair in Mathematical Finance Director, CFM-Imperial Institute of Quantitative Finance Department of Mathematics Imperial College London email: j.muhle-karbe(a)imperial.ac.uk http://wwwf.imperial.ac.uk/~jmuhleka/

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"Harmonic Analysis, Stochastics and PDEs" at ICMS, June 08 - 12, 2020.
by enrico priola 27 Feb '20

27 Feb '20

There will be a 5-day workshop "Harmonic Analysis, Stochastics and PDEs" at ICMS, June 08 - 12, 2020. This workshop includes mini-courses by - Franco Flandoli (Scuola Normale Superiore, Pisa): Regularization by noise for linear and nonlinear PDEs - Massimiliano Gubinelli (Hausdorff Center for Mathematics, Bonn): TBA - Nicolai Krylov (University of Minnesota, USA): Ito stochastic processes, Ito stochastic equations, and Markov diffusion processes with drift in L^d - Lutz Weis (Karlsruhe Institute for Technology, Germany): TBA See also https://www.maths.ed.ac.uk/~toh/ICMS2020.html for a list of speakers. Public registration is now open at https://www.icms.org.uk/harmonicanalysis2020.php with limited financial support available. If interested, please apply online by March 31, 2020. Regards, Tadahiro Oh on behalf of the Organizers: Zdzislaw Brzezniak, University of York Istvan Gyongy, University of Edinburgh Tadahiro Oh, University of Edinburgh Oana Pocovnicu, Heriot-Watt University %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -- Enrico Priola Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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Meeting CIRM "Set estimation" June 2020
by DI BERNARDINO Elena 26 Feb '20

26 Feb '20

Dear all, We, Christophe Biscio, Elena Di Bernardino, Céline Duval and Alberto Rodriguez Casal are organizing a meeting at the CIRM on « Set Estimation » from 29 June to 3 July 2020: https://conferences.cirm-math.fr/2296.html You will find below a short description of the theme of the conference. The conference will include long talks and 2 short courses given by Antonio Cuevas (Universidad Autónoma de Madrid) and Georg Lindgren (Lund University). The full list of speakers is available on the website. It is a pleasure for us to ask you to participate to this event and we hope that you will respond positively. If so, could you register on the website: « pre-registrations-apply-here ». Note that during registration young researchers are encouraged to submit an abstract for a short talk or a poster session. If you intend to come, we would greatly appreciate if you could register before March 10th 2020. We remain available if you have any question. Best regards, Christophe Biscio Elena Di Bernardino Céline Duval Alberto Rodriguez Casal Abstract: Set estimation appears in many applied fields, for instance in cosmology, imaging, biology, environmental science, sea waves modeling, big data. Many mathematical issues arise and are studied by both random geometry and spatial statistics communities. The purpose of this meeting is to gather these two communities around this common question. The considered sets are obviously multidimensional. They can be either random or the observation of a random phenomenon. Among others, we can name the support of multi- dimensional densities, realizations of point processes, Gibbs or Boolean models, excursion sets of random fields, discrete or continuous, level sets or high dimensional data. Regard- ing estimation, it could include inference for the localization of the set, its frontier or its extremal points, its shape, its volume or any other geometrical functional. The study of these objects naturally leads to parametric or non-parametric estimation issues and the need for testing procedures (Gaussianity, isotropy,...). By set estimation, we mean the study of an inverse statistical problem to build consistent inference procedures and associated algorithms, starting from eventually sparse observations. Talks will be devoted to this question by firstly presenting the set of interest and its properties then the methods developed for its estimation. The program will include talks directed toward theory and applications. Warning: We encountered some technical issues with the registration of people who already visited the CIRM and who did not fully completed the registration procedure. When you register be careful to follow the procedure until the end, you will then receive an automatic email confirming that you are registered. If you do not receive this email, please contact us.

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PhD call for interest
by Andrea Ongaro 26 Feb '20

26 Feb '20

*University of Milano-Bicocca* *Graduate School* *Department of Economics, Management and Statistics* *PhD in Economics and Statistics* *Call for Interest * *Academic Year 2020- 2021* The Graduate School of the University of Milano-Bicocca and the Department of Economics, Management and Statistics promote a *Call for Interest* for the PhD Programme in Economics and Statistics, academic year 2020-2021 (XXXVI cycle). The *length* of the PhD Programme in Economics and Statistics, which is organized on *two curricula (“Economics” and Statistics”)*, is *four* years, *starting in late October/early November 2020. * We offer at least eight fellowships (four for each curriculum) to the highest ranked applicants. Each fellowship pays a grant of a minimum of € 16.200 (gross income) per year. The monthly allowance can be increased up to 50% for our PhD students visiting academic or scientific institutions abroad. The number of scholarships may increase if sponsorships on specific research projects become available. There will also be allowances (research funds) for short-period mobility (from the second year). Candidates are invited to state their interest in one of the two curricula, either “Economics” or “Statistics”. Detailed information concerning The Call for Interest and the PhD Programme in Economics and Statistics can be found at the PhD website: https://www.dems.unimib.it/en/research/phd-programme

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tenure-track on Mathematical Finance in Vienna
by Ulisse Stefanelli 25 Feb '20

25 Feb '20

Dear Colleagues, I would like to point to your attention the current Tenure-Track opening on 'Mathematical Finance' at the Faculty of Mathematics of the University of Vienna (deadline 18.03.20). We are looking for candidates in mathematical finance and probability. Connections to other fields in analysis, statistics or stochastic optimisation are especially welcome. The call text can be found at the URL https://www.mathjobs.org/jobs/jobs/15649 I would be grateful if you could pass this information to anyone interested. Many thanks in advance. With my best wishes Ulisse Stefanelli ________________________________________ Ulisse Stefanelli (Univ.-Prof., PhD) Faculty of Mathematics, University of Vienna Oskar-Morgenstern-Platz 1,1090 Vienna, Austria ulisse.stefanelli(a)univie.ac.at ________________________________________

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4 postdoc positions open (ONLY from abroad!), University of Oslo, Norway
by Valeria Vitelli 25 Feb '20

25 Feb '20

Apologies for cross-posting ------------------------------------------------------------------------------------------- *Four postdoc positions in Biostatistics are offered at the University of Oslo (UiO), Norway. The positions are each three years appointments for incoming fellows from abroad .* *Call:* https://www.med.uio.no/english/research/scientia-fellows/apply/ *Deadline for submission: 30th April 2020IMPORTANT! Deadline for contacting the UiO PI: 20th March 2020* *SCIENTIA FELLOWS* is a transnational research fellowship programme in the field of Health Life Sciences at UiO, funded by the EU Horizon 2020 under the Maria Skłodowska-Curie scheme. The purpose of the three years postdoc is to produce scientific results of the highest quality, in collaboration with your host at UiO and its other partners. You will also be part of UiO's career development programme designed for researchers at the beginning of their career, including our Health Innovator course which aims to provide researchers with tools and insight into how innovation can be put to work for the benefit of patients, the healthcare system and society. At completion of your three year term, your academic profile will be such that you can successfully apply to the best research positions worldwide. All four positions will be at the Oslo Center for Biostatistics and Epidemiology (OCBE), UiO ( https://www.med.uio.no/imb/english/research/centres/ocbe/) and in collaboration with the Oslo University Hospital. *Eligibility:* - You possess a PhD degree (at the latest by 1 July 2020) in statistics, biostatistics, mathematics, computer science or other related disciplines with a documented competence in statistics, biostatistics or mathematics. - You have not been resident in Norway for more than 12 months in the last 3 years. You apply for each position separately, for just one or more. Mention clearly which position you are applying for. See descriptions below and here: https://www.biginsight.no/news/2020/2/24/scientia-fellow-ii-postdoc-positio… . *If you are interested in any of these positions, please contact the corresponding UiO PI by sending her/him an email with your CV and links to your papers as early as possible and by March 20th, 2020.* You and your UiO host PI will identify common research interests and discuss the concept of your research proposal. While you are responsible for the research proposal, you will discuss your application via Skype and email, and your host will help you to write a good proposal. Finally, in order to apply for the position, you have to submit the research proposal (and other documents as specified in the call) by April 30th, 2020. A Fellow of the Scientia Fellows programme will be employed at UiO for three years. The place of work is the UiO campus in Oslo. The gross salary of a Fellow will amount to 515 200 NOK/year. UiO will cover full health insurance and pay towards your pension with the Norwegian pension fund. As employee in Norway you have several welfare benefits. In addition UiO will support research costs (laptop, travel, courses etc) with 54 600 NOK per year. For further information related to moving and settling in Norway, please visit the website of the International Staff Mobility Office ( https://www.uio.no/english/about/jobs/ismo/) which will also assist incoming fellows and their families with relocation to UiO. For more information, contact the hosts mentioned below. Detailed information and how to apply can be found here: https://www.med.uio.no/english/research/scientia-fellows/apply *Postdoc positions offered:* *1. Statistical learning for personalised cancer therapy* UiO PI Host: Manuela Zucknick ( https://www.med.uio.no/imb/english/people/aca/manuelkz/) Summary: We develop new multivariate (multi-task) methods to improve prediction of drug sensitivity or synergistic effects in drug combinations in large-scale pharmacogenomic screens based on molecular characterization of cancer cell lines and patient samples as well as properties of the drugs. One particular challenge is the integration of multiple heterogeneous data sources, for example via multiple kernel learning. *2. Scalable inference for genomic data integration*UiO PI Hosts: Valeria Vitelli (https://www.med.uio.no/imb/english/people/aca/valeriv/) and David Swanson (https://sojourningnorth.github.io/) Summary: The project focuses on scalable statistical methods for the integration and analysis of multi-omic data sources. We plan development of horizontal (multi-omic) and vertical (meta-analytic) integrative Bayesian clustering methods during project course with intended application to disease subtyping and signature/biomarker discovery. *3. Biostatistics and/or computational biology in precision medicine and systems pharmacology*UiO PI Hosts: Arnoldo Frigessi ( https://www.med.uio.no/imb/english/people/aca/frigessi/) and Kjetil Tasken (https://www.med.uio.no/klinmed/english/people/aca/ktasken/index.html) Summary: To individually tailor new treatments, we have established a laboratory and computational pipeline to test drugs and drug combinations on blood of individual patients with chronic lymphocytic leukemia and multiple myeloma. This project will develop new statistical and machine learning methodologies, algorithms and computational approaches, to predict the efficacy of drugs and drug combinations, including their synergetic power. *4. Biostatistics and/or bioinformatics in precision medicine for head and neck cancer*Hosts: Arnoldo Frigessi ( https://www.med.uio.no/imb/english/people/aca/frigessi/) and Eivind Hovig ( https://www.ous-research.no/hovig/) Summary: This project aims to identify early signals for head and neck cancer, biomarkers for efficacy of treatment, prediction of prognosis of the cancer, at individual level. We will develop new statistical and machine learning methodologies, algorithms and computational approaches, including deep learning based strategies, exploiting one of the largest international collection of data based on clinical trials for this type of cancer, with unique longitudinal follow-up data for survivors. -- Valeria Vitelli Oslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, Norway mailto: valeria.vitelli(a)medisin.uio.no

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