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PhD position Konstanz Germania, starting September
by Tobias Kuna 22 Mar '24

22 Mar '24

NEW * PhD position starting September 2024: Recruitment Announcement* ---------------------------------------------------------------------- I have a 3 years PhD position at the university of Konstanz, available starting September/October 2024 or earlier. It is financed by the TENORS Marie Skłodowska-Curie Doctoral Network. Applications received before 31 March 2024 will be given full priority and reviewed throughout April. Please contact me directly if you are interested to apply. Application guidelines and further informations are found here: https://tenors-network.eu/phd-positions/ ---------------------------------------------------- Salma Kuhlmann ---------------------------------------- Prof. Dr. Salma Kuhlmann Schwerpunkt Reelle Geometrie und Algebra Fachbereich Mathematik und Statistik Universität Konstanz. Telefon +49 (0) 75 31.88-27 87 Sekretariat: Lea Nothacker Telefon +49 (0) 75 31.88-26 37 Fax +49 (0) 75 31.88-27 70 http://www.math.uni-konstanz.de/~kuhlmann ----------------------------------------------------------------------- Prof. Tobias Kuna Mathematics DISIM University of L'Aquila Email: tobias.kuna(a)univaq.it tobias.kuna(a)posteo.net Address: Via Vetoio 67100 L’Aquila Italy

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Fwd: New EB of MPAG
by Cristian GIARDINA' 22 Mar '24

22 Mar '24

Dear scholars, The *Probability Theory and Statistical Physics* section of the Mathematical Physics, Analysis and Geometry <https://www.springer.com/journal/11040> (MPAG) journal of Springer Nature, is delighted to announce the new composition of its Editorial Board! The *section* led by the *Editors-in-chief: **C. Bernardin* <https://www.hse.ru/en/org/persons/624039057> and *C. Giardinà* <https://personale.unimore.it/rubrica/dettaglio/cgiardin> consists of: *Associate Editors * Siva Athreya <https://www.isibang.ac.in/~athreya/> Marwa Banna <https://wp.nyu.edu/abudhabi-banna/> Jérémie Bouttier <https://perso.imj-prg.fr/jeremie-bouttier/> Federico Camia <https://nyuad.nyu.edu/en/academics/divisions/science/faculty/federico-camia…> Reda Chhaibi <https://www.math.univ-toulouse.fr/~rchhaibi/> Markus Heydenreich <https://www.uni-augsburg.de/de/fakultaet/mntf/math/prof/sto/hey/> Mark Holmes <https://researchers.ms.unimelb.edu.au/~mholmes1@unimelb/> François Huveneers <https://www.ceremade.dauphine.fr/~huveneers/> Leonid Petrov <https://lpetrov.cc/> Rémi Rhodes <https://www.i2m.univ-amu.fr/perso/remi.rhodes/english.html> Wioletta Ruszel <https://www.uu.nl/staff/WMRuszel> Akira Sakai <https://www.math.sci.hokudai.ac.jp/~sakai/> Please take a look at some of our recent publications, and we very much hope that they will provide an interesting read as well as serve as good examples of the articles we would like to see submitted: - The Near-Critical Two-Point Function and the Torus Plateau for Weakly Self-avoiding Walk in High Dimensions <https://link.springer.com/article/10.1007/s11040-023-09447-8> - The Zeros of the Partition Function of the Pinning Model <https://link.springer.com/article/10.1007/s11040-022-09428-3> - Long and Short Time Asymptotics of the Two-Time Distribution in Local Random Growth <https://link.springer.com/article/10.1007/s11040-020-09367-x> Further details about the Editorial Board and the Aims and Scope of our journal can be found here <https://www.springer.com/journal/11040/aims-and-scope>. With our best wishes, C. Bernardin and C. Giardinà Cristian Giardinà Professor Department of Mathematics Università di Modena e Reggio Emilia

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Seminar: Adriano Barra at Tor Vergata 02.11
by Michele Salvi 22 Mar '24

22 Mar '24

Dear all, On Thursday, November 2nd, at 15h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host Adriano Barra (Università del Salento) with the seminar "A walk in the statistical mechanics of neural networks” Abstract: Purpose of this talk is twofold: in the first part, I will provide a statistical mechanical picture of shallow networks proving how learning in biological neural networks (e.g. in the Hopfield model) and standard machine learning via gradient descent (e.g. on the Boltzmann machine) ultimately convey the same information after training. This diminishes the gap in our understanding between biological and artificial information processing networks. In the second part of the talk, focusing on a toy model for the sake of simplicity, I will show how recent mathematical techniques, heavily based on Guerra's interpolation, are suitable to describe the emergent properties of this kind of networks. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… <https://teams.microsoft.com/l/meetup-join/19:rfsL73KX-fw86y1YnXq2nk5VnZFwPU…> The seminar is part of the Excellence Project MatMod@TOV.

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European Summer Program in Infectious Disease Analysis and Modelling (ESPIDAM)
by Martina Favero 21 Mar '24

21 Mar '24

Dear colleagues, We are happy to invite you to the first *European Summer Program in Infectious Disease Analysis and Modelling (ESPIDAM).* *Time*: June 24-28, 2024 *Location*: Stockholm University, Sweden *Registration*: Is now open and closes April 30 *Suitable participants*: PhD students, PostDocs, Public Health scientists and others interested *Structure*: The summer program consists of 6 course modules of which participants can attend one or two. *More information*: www.math.su.se/espidam *Contact: *espidam(a)math.su.se *Advisory board:* Tom Britton (chair), Simon Cauchemez, Niel Hens, Mirjam Kretzschmar, Lorenzo Pellis and Erik Volz Please spread to others you think might be interested Warmly welcome! The organizing committee (Tom Britton, Martina Favero, Gianpaolo Scalia Tomba, Dongni Zhang and Fanny Bergström)

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Michel Talagrand vince il premio Abel 2024
by Lorenzo Zambotti 21 Mar '24

21 Mar '24

Michel Talagrand awarded the 2024 Abel Prize «for his groundbreaking contributions to probability theory and functional analysis, with outstanding applications in mathematical physics and statistics.» https://abelprize.no/article/2024/michel-talagrand-awarded-2024-abel-prize -- Lorenzo Zambotti Postal Address: Sorbonne Universite', LPSM - Boite courrier 158 4, place Jussieu - 75252 Paris cedex 05, France Bureau n. 22, 2eme etage, tours 16/26, Jussieu E-mail: lorenzo.zambotti(a)upmc.fr https://www.lpsm.paris/users/zambotti/

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SAVE THE DATE - Tavola rotonda su "Iperautorialità e riviste predatorie" - 29 maggio 2024 - ore 15
by ANDREA CONSIGLIO 20 Mar '24

20 Mar '24

In allegato il programma della tavola rotonda dedicata a "Iperautorialità e riviste predatorie". Vi invitiamo cortesemente a condividerlo all'interno della vostra rete. Cordiali saluti, Andrea Consiglio ########################################################### Tavola Rotonda: Iperautorialità e Riviste Predatorie Data e Luogo: 29 maggio 2024, ore 15.00, Aula delle lauree, Facoltà di Economia, via Castro Laurenziano 9, Roma. Disponibile anche in modalità telematica. Saluti Istituzionali: * Giovanni Di Bartolomeo, Preside Facoltà di Economia, Università di Roma "La Sapienza" * Andrea Consiglio, Presidente AMASES, Università di Palermo Partecipanti: * Santo Fortunato, Indiana University * Giulia Iori, Università di Venezia "Cà Foscari" * Marco Malgarini, ANVUR * Angelo Pezzullo, Università Cattolica * Angela Santoni, Commissione Etica, Università di Roma "La Sapienza" * Francesco Sylos Labini, CREF Moderatore: Marco Li Calzi, Università di Venezia "Cà Foscari" L'evento sarà accessibile online tramite una piattaforma telematica. Coloro che preferiscono partecipare di persona dovranno registrarsi attraverso un modulo online specifico. Le informazioni relative al link della piattaforma e al modulo di registrazione verranno fornite nelle comunicazioni successive. Andrea Consiglio Università di Palermo Dipartimento di Scienze Economiche, Aziendali e Statistiche. Viale delle Scienze, Edificio 13 90128 Palermo, Italy tel:++39-09123895228 fax:++39-091485726 skype: conan_66 email:andrea.consiglio@unipa.it<mailto:email%3Aandrea.consiglio@unipa.it> pec:andrea.consiglio@pec.it<mailto:pec%3Aandrea.consiglio@pec.it> www:http://bit.ly/AndreaConsiglio

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FW: due assegni di ricerca (laureati Matematica, Statistica, Informatica, Ingegneria)
by Giacomo Aletti 20 Mar '24

20 Mar '24

Ricevo e inoltro, saluti, Giacomo Aletti ________________________________ Da: Marta Rossi <marta.rossi(a)unimi.it> Inviato: mercoledì 20 marzo 2024 15:06 Carissime/i, Invio una proposta per 2 contratti di Assegno di ricerca di tipo B presso il nostro Laboratorio: 1. un Assegno della durata di 18 mesi con decorrenza: 01/05/2024 sul progetto "InBloom" sul microbiota ematico, di cui allego info e bando (appena pubblicato con scadenza 4 aprile) 1. un Assegno della durata di 12 mesi con decorrenza: 01/11/2024 sul progetto "WeCare" sui dati amministrativi, di cui allego info. Vi chiederei di fare circolare, se potete. Rimango disponibile per ulteriori informazioni e un colloquio di conoscenza con chi fosse interessato. Grazie molte. Un saluto cordiale, Marta Rossi _______________________________________________________________________________________________________ Prof.ssa Marta Rossi Laboratorio di Statistica Medica, Biometria ed Epidemiologia "G.A. Maccacaro"; Dipartimento di Scienze Cliniche e di Comunità; Università degli Studi di Milano; Via Celoria 22, 20133 Milano. Email: marta.rossi(a)unimi.it Tel: +39 0250320858

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Assegno PRIN (15 mesi) a Venezia
by Marco LI CALZI 20 Mar '24

20 Mar '24

We invite applications for a 15-month post-graduate research position at the University of Venice in economic theory. The position is suitable for ABD doctoral students who plan to start a tenure-track around September 2025. The appointment is funded through the PRIN project "Nudging under limited attention", and it will focus on bounded rationality in individual and collective choice under the supervision of Marco LiCalzi. The successful candidate may pursue independent research (50% of working time). Announcement: https://apps.unive.it/common2/file/download/assegni_ricerca/65bcc3a175a67 Job duration: 15 months. Start date: by June 2024, with a modicum of flexibility. Teaching: none. Remuneration: Eur. 30,204 (gross). Online application to be filled by April 12th, 12:00 a.m.: https://apps.unive.it/domandeconcorso/accesso_cf/dma-licalzi-prin2022ter Interested candidates can contact Marco LiCalzi (licalzi(a)unive.it <http://sns.it/>) for questions or clarifications. Applications must be submitted online.

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Seminar: Philipp Sterzinger March 26, 2024, Ca' Foscari University of Venice
by Carlo Gaetan 19 Mar '24

19 Mar '24

Dear all, we are glad to announce the following hybrid seminar *March 26, 2024, 12:15 PM* *Where*: Aula Delta 2C- edificio Delta (Campus Scientifico), Via Torino, 155 Mestre (Venice, Italy) Zoom: https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09 *Speaker*: Philipp Sterzinger, University of Warwick *Title*: Diaconis-Ylviskaer prior penalized likelihood in high-dimensional logistic regression *Abstract:* In recent years, there has been a surge of interest in estimators and inferential procedures that exhibit optimal asymptotic properties in high-dimensional logistic regression when the number of covariates grows proportionally as a fraction ($\kappa \in (0,1)$) of the number of observations. In this seminar, we focus on the behaviour of a class of maximum penalized likelihood estimators, employing the Diaconis-Ylvisaker prior as the penalty. Building on advancements in approximate message passing, we analyze the aggregate asymptotic behaviour of these estimators when covariates are normal random variables with arbitrary covariance. This analysis enables us to eliminate the persistent asymptotic bias of the estimators through straightforward rescaling for any value of the prior hypertuning parameter. Moreover, we derive asymptotic pivots for constructing inferences, including adjusted Z-statistics and penalized likelihood ratio statistics. Unlike the maximum likelihood estimate, which only asymptotically exists in a limited region on the plane of $\kappa$ versus signal strength, the maximum penalized likelihood estimate always exists and is directly computable via maximum likelihood routines. As a result, our asymptotic results remain valid even in regions where existing maximum likelihood results are not obtainable, with no overhead in implementation or computation. The dependency of the estimators on the prior hyper-parameter facilitates the derivation of estimators with zero asymptotic bias and minimal mean squared error. We will explore these estimators' shrinkage properties, substantiate our theoretical findings with simulations and applications. Visit this page https://www.unive.it/pag/41970/ for updates on our seminars. Best regards, Carlo Gaetan -- - Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS Università Ca' Foscari - Venezia Z.A12 - Edificio Zeta Via Torino, 155 I-30172 Mestre (VE) ITALY phone: ++39 041 234 8404 e-mail:[gaetan"at"unive"dot"it] web:[http://www.dais.unive.it/~gaetan] Please don't print this e-mail unless you really need to. Please avoid sending me Word, Excel or PowerPoint attachments. Seehttp://www.gnu.org/philosophy/no-word-attachments.html. Per favore non stampate questo messaggio se non è proprio necessario. Per favore non mandatemi allegati in Word, Excel o PowerPoint. Le ragioni sono spiegate quihttp://www.gnu.org/philosophy/no-word-attachments.it.html

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Seminario Padova - Carlos Escudero Lienana
by alekos.cecchin＠unipd.it 19 Mar '24

19 Mar '24

Buongiorno a tutti, Vorremmo segnalarvi che venerdì prossimo (22 Marzo) alle ore 14:30 in aula 2AB40 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Carlos Escudero Lienana (Universidad Autónoma de Madrid) <https://portalcientifico.uned.es/investigadores/204034/colaboracion/organiz aciones/9> https://portalcientifico.uned.es/investigadores/204034/colaboracion/organiza ciones/9 Title: The noise interpretation problem in mathematical physics Date: March 22, 2024, at 14:30 room 2AB40 Abstract: Stochastic differential equations have been used as models in physics and finance for many decades now. Before a rigorous theory of these mathematical objects were introduced, and even after that, an informal use of these equations has been employed in these two fields, among many others. Herein we will focus on the extensive use of them employed in statistical physics. While the primordial use is explicitly informal, at some point the physics community recognize the importance of using a more precise language. This is the starting point of the noise interpretation problem, which translated, in hundreds of papers, in deciding whether a given model should be considered an Itô or a Stratonovich stochastic integral equation. Quite surprisingly, after several decades and hundreds of papers, and also after the question was considered settled by a certain establishment, the problem still seems to be open. Herein we will show certain examples that illustrate how this search for a more precise language in the physics literature has translated old ambiguities into newer ones. We will resolve some of them using the precise mathematical language introduced by Kiyoshi Itô and other classical stochastic analysts. Vi aspettiamo numerosi! Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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