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[Polimi - Call for Interest Assegno di Ricerca]
by Daniele Marazzina 09 Apr '22

09 Apr '22

Con preghiera di diffusione fra le persone che potrebbero essere interessate. Grazie mille Daniele Marazzina >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Il Qfinlab, gruppo di Finanza Quantitativa del Dipartimento di Matematica del Politecnico di Milano, è alla ricerca di una persona interessata a collaborare su temi ESG (principalmente) e di Educazione Finanziaria (in misura minore). La collaborazione sarà strutturata tramite un assegno di ricerca. Riguardo la tematica ESG, l'assegnista sarà chiamato a collaborare alla creazione di un database e alla sua gestione, oltre ad analisi statistiche ed economiche ai fini di pubblicazioni scientifiche. Riguardo la tematica Educazione Finanziaria, l'assegnista sarà chiamato a collaborare col gruppo nelle attività di educazione finanziarie per le scuole e gli adulti, oltre all'analisi di impatto di queste, ai fini di ricerca. L'assegno sarà della durata di un anno. E' richiesta una laurea magistrale, preferibilmente in economia, matematica, o ingegneria, o facoltà equivalenti. Gli interessati possono inviare il loro CV a qfinlab(a)polimi.it. Seguirà poi bando competitivo per l'assegno di ricerca. Cordiali saluti Daniele Marazzina per il Team Qfinlab

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Master Mathématiques et Apprentissage Statistique all'Università di Versailles
by Cecilia Mancini 09 Apr '22

09 Apr '22

Inoltro questa informazione su un nuovo Master che partirà il prossimo Settembre all’Université Versailles Saint Quentin<http://www.uvsq.fr/>. A chi fosse interessato posso mandare i flyers sotto menzionati Saluti, Cecilia Da: Ester Mariucci <ester.mariucci(a)uvsq.fr> stiamo aprendo un nuovo Master (M1+M2) a Versailles. Si chiama Mathématiques et Apprentissage Statistique, Math&AS. Fa parte della Graduate School dell’Università Paris-Saclay ed é un “Master Recherche ouvert à l’entreprise”. Per essere chiari : é teorico ma non tanto quanto i master di Orsay, permette di andare subito a lavorare ma non é un master in alternance. Durante l’M1 i corsi sono teorici - ma comunque globalmente più di statistica applicata che matematica - (statistica matematica, machine Learning, modelli lineari, ottimizzazione, analisi dei dati, etc…) e c’é un po’ di informatica. Il secondo anno ci saranno dei corsi fatti da data scientists, e poi vari corsi avanzati sempre di machine learning e statistica. L’insegnamento é in francese, ci sono 2 stages di sei mesi ciascuno, uno per anno (quindi bisogna davvero parlare bene francese). Dato che la formazione debutta a Settembre cerco di diffondere la notizia il più possibile…non si sa mai che tu conosca studenti francofoni (o che se la cavano sufficientemente bene) potenzialmente interessati! Ti allego i flyers che abbiamo fatto per l’UVSQ e per Saclay con le informazioni sui programmi. Ci sono borse (anche per stranieri) : https://www.universite-paris-saclay.fr/admission/bourses-et-aides-financier…; https://www.fondation-hadamard.fr/fr/master-bourses-de-master/master-401-ap… e le candidature per iscriversi al master sono tra il 15 marzo e il 15 maggio. Sto ancora aspettando che il sito ufficiale di Saclay sia visibile, qui ci sono alcune informazioni : http://www.departement.math.uvsq.fr/masterMathAS Un caro saluto, Ester

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seminar: "Random structures and patterns in spatio-temporal data: probabilistic modelling and statistical inference", Radu Stoica, 12 April
by Umberto Picchini 09 Apr '22

09 Apr '22

You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University, Sweden. On Tuesday April 12, Radu Stoica <https://sites.google.com/site/radustefanstoica/> will talk of: ///"Random structures and patterns in spatio-temporal data: probabilistic modelling and statistical inference"/ / / //*About the speaker: *Radu Stoica <https://sites.google.com/site/radustefanstoica/> is professor at Université de Lorraine, France. He is interested in probabilistic modeling and statistical inference for the analysis of spatio-temporal data // //* * *Abstract:* The useful information carried by spatio-temporal data is often outlined by geometric structures and patterns. Filaments or clusters induced by galaxy positions in our Universe are such an example. Two situations are to be considered. First, the pattern of interest is hidden in the data set, hence the pattern should be detected. Second, the structure to be studied is observed, so relevant characterization of it should be done. Probabilistic modelling is one of the approaches that allows to furnish answers to these questions. This is done by developing unitary methodologies embracing simultaneously three directions: modelling, simulation and inference. This talk presents the use of marked point processes applied to the detection and to the characterization of such structures. Practical examples are also shown.* * *Feel free to spread this announcement in your network.* * * *Where*: room MVL14 or https://chalmers.zoom.us/j/64160866575 Password: 024139 ** **** *When*: Tuesday 12 April at 14.30-15.30*(Stockholm time)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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International conference “Statistical Methods and Models for Complex Data" - SAVE THE DATE!
by Alessandra Fabbri Colabich 07 Apr '22

07 Apr '22

*On behalf of the Director of the Department of Statistical Sciences of the University of Padua:* SAVE THE DATE! *International conference “Statistical Methods and Models for Complex Data”* , *21-23 September 2022, Padova, Italy* The Department of Statistical Sciences of the University of Padova is organizing the international conference: “Statistical Methods and Models for Complex Data”. The conference will be held in Padova, Italy on 21-23 September 2022. The event is organized on the occasion of the 800th anniversary of the University of Padua and the last year of the excellence project of our department. The scientific program will include plenary sessions, with 45 minutes invited presentations from internationally recognized experts, followed by 25 minutes for interventions of two main discussants and informal moments of discussion and interaction between the participants. Participation of senior and young scientists involved in the developments of statistical methods and tools for complex data is strongly encouraged. The scientific program of the conference is available on the website *http://800years.stat.unipd.it <http://800years.stat.unipd.it>*. For further information, please contact: 800years(a)stat.unipd.it

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Fwd: two PhD positions
by Antonio Agresti 06 Apr '22

06 Apr '22

Ricevo ed inoltro. ---------- Forwarded message --------- Da: Mark Veraar - EWI <M.C.Veraar(a)tudelft.nl> Date: mar 5 apr 2022 alle ore 15:43 Subject: two PhD positions To: Mark Veraar - EWI <M.C.Veraar(a)tudelft.nl> Dear all, Within my NWO Vici grant "Foundations of Stochastic Partial Differential Equations" (FoundSPDE) I have two PhD positions available. It would be great if you could forward this announcement to potential candidates. Short description: At the Delft Institute for Applied Mathematics (DIAM), part of Delft University of Technology (TU Delft), NL, two full-time PhD positions in the mathematical analysis of stochastic partial differential equations are offered. The PhD candidate will be supervised by Prof.dr.ir. M.C. Veraar (part of the Analysis Group at DIAM). The focus of both of the projects is on well-posedness, regularity, long-time behavior, large deviations and/or approximation of solutions to parabolic and hyperbolic SPDEs of semi- and quasi-linear type. A background in Probability Theory and/or Analysis is preferable. The deadline for application is June 24th. For further details see https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?… Best regards, Mark Veraar ---------------------------- Professor dr. ir. M.C. Veraar Analysis section Delft Institute of Applied Mathematics. Faculty EEMCS Delft University of Technology https://fa.ewi.tudelft.nl/~veraar/

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(PMS)^2 in person and online talk: Daria Ghilli - April 11 at 14.00
by Carlo Orrieri 06 Apr '22

06 Apr '22

Dear colleagues, We are happy to announce the following hybrid - that is, in person with online streaming - talk: Speaker: Daria Ghilli (Università di Pavia) Title: A mean field game model in economics with spatial interactions in the human capital Abstract: We study an economic model where each agent chooses its position in space and its level of human capital maximizing its own utility and interacts with the other agents through the human capital. The main peculiarity of the model we consider consists in the presence of a spatial interaction term in the dynamic of the human capital, i.e. spatial spillovers on the accumulation of human capital and in the utility, i.e. spatial spillovers on the consumption. We adopt a Mean Field Game (MFG) approach and study a system of two partial differential equations, the MFG system, which arises as the continuum macroscopic description of the discrete multi-agents system emerging, heuristically, as the limit as the number of agents tends to infinity. The MFG system we study is expected to approximate Nash equilibria for the discrete multi-agents system when the number of players tends to infinity. This is a joint work with C. Ricci (Pisa) and G. Zanco (LUISS). Date and time: Monday April 11, 14:00-15:00 (Rome time zone) Place: Aula Beltrami, dipartimento di matematica dell’università di Pavia, via Ferrata 5, Pavia. Zoom Link: https://us02web.zoom.us/j/83190110958?pwd=QW5tOC9tcGgyTDNtaUJvenIrdGNZQT09 <https://us02web.zoom.us/j/83190110958?pwd=QW5tOC9tcGgyTDNtaUJvenIrdGNZQT09> ID riunione: 831 9011 0958 Passcode: 384911 This talk is part of the (PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. Participation is free and welcome! Best regards The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

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Borse per visitatori provenienti da aree a rischio
by Faggionato, Alessandra 06 Apr '22

06 Apr '22

Cari tutti, vi mando sotto un messaggio in Inglese, cosi' che possa essere forwardato anche a stranieri. Grazie della collaborazione! Saluti Alessandra %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Dear all, Here in La Sapienza we have special grants for visiting professors/researchers from risk areas (such as Ukraine but also Russia) for up to 6 months with a gross salary of 3000 euros. These grants are for persons who have been/are exposed to some risk, e.g. they had to leave their countries. Do you know of some probabilists or other people working with probability who could be interested and are in a situation of necessity? The deadline of the application is *April 11* 12:00 (midday) and the application has to be done by a person in La Sapienza. Thanks Best Alessandra Faggionato, Vittoria Silvestri and Lorenzo Taggi -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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ICMNS2022 Digital - First announcement
by Massimiliano ... 05 Apr '22

05 Apr '22

Dear all, We are delighted to announce the 8th International Conference on Mathematical Neuroscience (ICMNS 2022). The conference will take place online from July 6th to 8th, 2022, between 14:00 and 18:00 (GMT+2). ICMNS is an interdisciplinary conference series, bringing together theoretical neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. It is our pleasure to confirm that this year’s plenary speakers will be: * Danielle Bassett<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcomplexsy…> (University of Pennsylvania, USA) * Sue Ann Campbell<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.math.…> (University of Waterloo, Canada) * Thomas Serre<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fserre-lab…> (Brown University, USA) There will be 6 minisymposium sessions, covering a broad set of topics in mathematical neuroscience. Each minisymposium consists of 4 talks, 3 of which will be given by early career researchers. * Stochastic models for neuronal activity, Organiser: Laura Sacerdote<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.lauras…> (University of Turin, Italy) * Patterns and Rhythms in Balanced Neural Networks, Organiser: James MacLaurin<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpeople.nj…> (New Jersey Institute of Technology, USA) * Metastable dynamics in neural circuits, Organiser: Tilo Schwalger<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpage.math…> (Technische Universität Berlin, Germany) * Learning (and compressing) stochastic sequences of events, Organiser: Antonio Galves<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fime.usp.br…> (Universidade de São Paulo, Brasil) * Nonlinear PDEs of Fokker–Planck type in neuroscience, Organisers: Pierre Jules Abel Roux<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww1.math…> (University of Oxford, UK) and Susanne Solem<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ntnu.…> (Norwegian University of Science and Technology, Norway) * Dynamical system of psychiatric disorders, Organisers: Christoffer Alexandersen (University of Oxford, UK) and Louisiane Lemaire (Humboldt-Universität zu Berlin, Germany) In addition, there is an open call for micro-talks, delivered to the whole audience. Micro-talk sessions are one-hour sessions consisting of a sequence of very short introductions (2 minutes, 1 slide) by the presenters to their research, followed by an opportunity to chat with individual presenters about their research in breakout rooms. We encourage micro-talks submissions by researchers from all areas of mathematical neuroscience and at all career stages. Submissions can be made at this link<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…>. The submission deadline is the 31st of May at 23:59 (GMT+2). Please visit our website to submit subscribe to our mailing list and YouTube channel: * https://www.danieleavitabile.com/icmns2022digital/<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.danie…> * https://www.youtube.com/channel/UCXClLvVl35uBrYIgN8dOZsw<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…> We look forward to seeing you (virtually) in July! Best wishes, Áine Byrne Daniele Avitabile Massimiliano Tamborrino Etienne Tanré ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>

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Summer School + workshoop on Reaction Networks
by Enrico Bibbona 04 Apr '22

04 Apr '22

Dear all, Politecnico di Torino is organizing the second edition of the following two events on Chemical Reaction Networks 1) Summer School on Stochastic Reaction Networks,10-16 July, 2022, Torgnon, Aosta Valley, Italy Instructors: David F Anderson (University of Wisconsin, Madison, US), L. Popovic (Concordia University, Montreal, CA). More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs/index.html 2) Workshop on Chemical Reaction Networks, 6-8 July, 2022, Torino, Italy This second event is taking place at Politecnico di Torino, and will cover both stochastic and deterministic Chemical Reaction Networks, modelling and inference. More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs_workshop/index.… Please forward this info to all potentially interested people you may know, especially to the youngest. With kindest regards, the organizers Daniele Cappelletti Enrico Bibbona Paola Siri Enrico Bibbona Associate Professor of Statistics Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino

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2 postdocs on network and graphical models
by Consonni Guido 04 Apr '22

04 Apr '22

On behalf of David Rossell (Universitat Pompeu Fabra) Postdocs in high-dimensional statistics for network & graphical models analysis, Barcelona We have two post-doctoral positions to work on a range of topics related to high-dimensional statistics for networks, ultra high-dimensional graphical models, frameworks linking networks and graphical models, multivariate structural learning and time series analysis. The positions are for 1 year, with a potential for extension to 18 months, with a gross yearly salary of 40,000 eur. The scope is ample and allows for sub-projects related to mathematical statistics and statistical learning theory, data analysis methodology in penalized likelihood and Bayesian statistics, and computational methods. The positions are related to a Huawei grant, which also offers opportunities to explore applications of the developed theory & methods. The project is primarily hosted by the Statistics group at UPF (https://sites.google.com/view/stats-upf<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>) and the BSE Data Science Center (https://datascience.bse.eu<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdatascien…>) in Barcelona (Spain), and is in collaboration with Luc Devroye at McGill University in Montreal (Canada) and Piotr Zwiernik at the University of Toronto (Canada). The primary supervisors are Christian Brownlees, Luc Devroye, Gábor Lugosi, David Rossell and Piotr Zwiernik, although collaborations with other professors of these research groups are also possible. Interested candidates should send an updated CV and a short research statement to David Rossell (david.rossell(a)upf.edu<mailto:david.rossell@upf.edu>). They should ask 3 referees to send a letter of reference on their behalf. The deadline for applying for the first position is April 30 2022, the deadline for the second position is June 15 2022. -- David Rossell Director, BSE Master's in Data Science Methodology and BSE Data Science Center Associate professor, Dept. of Economics & Business, Universitat Pompeu Fabra (Office 1E46, Jaume I building) [http://static.unicatt.it/ext-portale/FirmaOutlook.jpg]<http://www.unicatt.it/> [http://static.unicatt.it/ext-portale/5xmille-firma-mail-scritta.jpg]

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