Care colleghe e colleghi,
Vi ricordiamo che questo Venerdì 6 Maggio si terrà la decima giornata di seminari:
A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS
University of Florence
Friday 6 May 2022
Lecturers: Nina Gantert (Munich) and Senya Shlosman (Marseille)
Location: Anfiteatro (piano terra), Viale Morgagni 65, Firenze
Informazioni su come arrivare:
https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html <https://www.google.com/url?q=https://www.dimai.unifi.it/vp-285-come-arrivar…>
Note pratiche: stiamo prenotando un catering con cibi vegerariani e non, percio` abbiamo bisogno del numero di persone che vogliono partecipare al pranzo. A coloro che fossero interessati (per una migliore organizzazione) chiediamo di compilare il seguente Google Form per indicare l'intenzione di partecipare al pranzo.
https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn… <https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn…>
PROGRAMMA
Prof. Nina Gantert (Technical University of Munich)
Title: Mixing times for exclusion processes
Prof. Senya Shlosman (CPT Luminy, Marseille)
Title: Random surfaces in statistical mechanics
Program:
11.00-11.45 Introductory lecture: Gantert
11.45-12.00 Break
12.00-12.45 Seminar: Gantert
13.00-14.30 Lunch
14.30-15.15 Introductory lecture: Shlosman
15.15-15.30 Break
15.30-16.30 Seminar: Shlosman
Local Organizers:
G. Bet, L. Andreis
Scientific advisory committee:
F. Caravenna, N. Cancrini, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De
Masi, D. Fanelli, F. Flandoli, C. Giardina`, R. Livi, F. Martinelli,
I.G. Minelli, E. Presutti, B. Scoppola, E. Scoppola.
Ricordiamo che ciascun oratore fara` una lezione introduttiva e
divulgativa di 45 minuti pensata proprio per i non esperti, seguita da
altri 45 minuti di tipo seminario (vedi programma).
Maggiori informazioni e aggiornamenti sono reperibili alle pagine web
https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p… <https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p…>
Vi aspettiamo numerosi
Gianmarco Bet e Luisa Andreis
Dipartimento di Matematica e Informatica
Università degli Studi di Firenze
Viale Morgagni 67, Firenze, Italy
----------------------------------------------------------------------
Gianmarco Bet (he/him)
Junior researcher
https://gianmarco.bet
Phone: (+39) 055 2751491
Department of Mathematics and Informatics "U. Dini"
University of Florence
Viale Morgagni, 65
50134 Firenze, Italy
Office 64
----------------------------------------------------------------------
Cari tutti,
Vi segnalo che al link
https://www.unipr.it/node/32439 <https://www.unipr.it/node/32439>
È pubblicato il bando per un assegno di ricerca presso il Dipartimento di Scienze matematiche, fisiche e informatiche dell’Università di Parma.
Gli argomenti di ricerca sono:
- Analisi in dimensione infinita;
- Calcolo di Malliavin;
- Equazioni differenziali stocastiche.
Vi chiedo di diffondere la notizia vai possibili interessati.
Grazie
Davide Addona
Dear all,
from May 11th until June 30th, Dmitri Koroliouk (Kiev university) will give a course at Tor Vergata university with title
Introduction into Neural Networks and Deep Learning
The schedule of the course, the venue and the topics treated in each lecture can be found in the file in attachment.
This course is part of the Excellence Project Math@TOV.
You can find a summary of this and the other events organized by the newly established RoMaDS center at the following link: https://www.mat.uniroma2.it/~rds/events.php .
Salve a tutti,
vorrei raccogliere manifestazioni di interesse qualificate per una
posizione RTD B in probabilità (MAT/06) che potrebbe essere bandita
nel prossimo futuro presso il Dipartimento di Scienze Matematiche,
Fisiche e Informatiche di Parma.
Gli interessati sono incoraggiati a contattarmi, anche per
informazioni e chiarimenti.
--
Francesco Morandin -- frmor.net
Department of Mathematical, Physical and Computer Sciences
Parma University -- sfmi.unipr.it
To call in the statistician after the experiment is done may be
no more than asking him to perform a post-mortem examination:
he may be able to say what the experiment died of. (R.A. Fisher)
Dear all,
during May, prof. Mauro Mariani will be INdAM Visiting Professor at the
University of Pisa, and will deliver a the first half of a PhD Course on
Long time asymptotic and criticality in random dynamics
(abstract below). The second half will be later given by Giacomo di Gesù
(Sapienza Università di Roma). The format will be blended, in presence
and online using Microsoft Teams. The first lecture is scheduled on
Thursday, May 5th, at 11 am,
at Aula Seminari of the Department of Mathematics (Largo Bruno
Pontecorvo, 5, first floor)
and online at the link
https://teams.microsoft.com/l/meetup-join/19%3aNPe79QEwg0BQ31oFUsis6tD5qgF2…
Dates and times later lectures are possibly subject to changes, but are
now tentatively scheduled every Thursday and Friday, 11 am, same room
(Aula Seminari), starting from Thursday 12th. No lecture will be
delivered on Friday 6th.
Please feel free to forward this message to anyone who might be
interested, and write me if you want to be added to the Team (to access
records of the lectures and further material). Regards,
Dario Trevisan
%%%
Abstract: The qualitative behavior of random evolutions in the long time
asymptotic is a classical subject, which has recently found new
motivations in high dimensional optimization. The course provides an
introduction to classical and recent results concerning the long time
behavior of some classes of Markov processes. In the first part, we
will introduce some tools typical of potential theory in an elementary
context, with focus on the reversibility non-reversibility paradigm.
In the second part of the class, we will focus on establishing some
recent results for more involved models and infinite-dimensional
dynamics.
1. Ergodicity and long time behavior of Markov processes.
2. Potential theory and spectral analysis for processes on graphs.
3. Applications to statistical mechanics models.
--
Dario Trevisan,
Università degli Studi di Pisa,
Dipartimento di Matematica,
Largo Bruno Pontecorvo 5,
56127 - Pisa (PI) Italy
telephone: (+39) 050 2213832
mobile: (+39) 331 2899761
Skype: dario-trevisan
e-mail: dario.trevisan AT unipi.it
webpage: http://people.dm.unipi.it/trevisan/
Buongiorno,
è stato pubblicato il Bando relativo all'indizione di una procedura
selettiva per posti da Ricercatore a tempo determinato RTD-A, di cui uno
nel settore concorsuale 13D1 presso il Dipartimento di Scienze Statistiche
dell’Università degli Studi di Padova.
Il bando è disponibile all’indirizzo:
https://www.stat.unipd.it/procedura-selettiva-2022rua03
La *scadenza* per la presentazione delle domande è il *30 maggio 2022 alle
ore 13*.
Si prega di dare la massima diffusione presso tutti gli interessati.
Grazie per la collaborazione
Alessandra Fabbri Colabich
--
Dott.ssa Alessandra Fabbri Colabich
Università degli Studi di Padova
Dipartimento di Scienze Statistiche
[image: Ottocento anni di libertà e futuro]
Dear Colleagues,
we would like to invite you to the following seminar by Jules Pitcho (UZH)
to be held this Wednesday (May 4th) at Dipartimento di Matematica in Pisa
and online via Google Meets.
The organizers,
A. Agazzi and F. Grotto
--------------------------------------------
Location: Sala Seminari, Dipartimento di Matematica, Pisa
Google Meet Link: https://meet.google.com/gji-phwo-vbg
Time: May 4th, 2022, 14:00-15:00 CET
Speaker: Jules Pitcho (UZH - Universität Zürich)
Title: Since the work of Di Perna-Lions and Ambrosio, it is known that the
continuity equation with divergence-free Sobolev vector field is well-posed
for densities with suitable integrability. At the Lagrangian level, these
works translate into a selection principle for integral curves under which
uniqueness for almost every initial data is true. Nevertheless, uniqueness
of integral curves can fail almost everywhere. The deterministic technique
used to construct such divergence-free Sobolev vector fields and non-unique
integral curves go by the name of convex integration: we will explain some
of the ideas underlying this technique. We will conclude by arguing that
for rougher vector fields, a genuinely stochastic behaviour of integral
curves is to be expected: we should not hope for an almost everywhere
selection principle for integral curves.
We are delighted to announce that the "First Italian School on
Geometric Deep Learning"
will take place in Pescara, Italy, from 25th to 28th of July, 2022.
The school will be held in person.
https://www.sci.unich.it/geodeep2022/ for details.
Confirmed teachers are Michael Bronstein, Cristian Bodnar and
Francesco Di Giovanni. They will introduce the mathematical
foundations of geometric deep learning, discuss the current state of
the art, and highlight future research directions and open problems.
The intended audience includes PhD students in Computer Science,
Mathematics, Physics and Statistics, as well as postdoctoral fellows
and young researchers. Any quantitative-oriented student is welcome,
and a list of prerequisites will be provided.
Limited funding is available to partially support selected students.
The application form, as well as additional information and updates,
can be found on the webpage https://www.sci.unich.it/geodeep2022.
The deadline for registration is 15th of June, but for organizing
reasons we ask you to register as soon as possible. No payment is
required at registration time.
Please spread the news to everybody potentially interested.
We look forward to seeing you in Pescara!
The organizers,
Gianluca Amato
Daniele Angella
Claudia Ceci
Rita Fioresi
Luigi Ippoliti
Francesco Morandin
Maurizio Parton
Francesca Scozzari
There are 6 fully funded PhD scholarships in the framework of the PhD in
Modeling and Data Science at the University of Turin (Italy), coordinator
Prof. Laura Sacerdote (one scholarship is reserved to the project founded
by Hub Editoriale, see the list of projects below).
The scholarship is for three years, starting from 1st November 2022.
The PhD program is interdisciplinary, and it involves branches of
mathematics, informatics, economics, statistics, and physics.
Website of the PhD: *https://dottorato-mds.campusnet.unito.it/do/home.pl
<https://dottorato-mds.campusnet.unito.it/do/home.pl>*
The official language is English.
The call is now open. All interested candidates have to submit their
application online:
*https://www.phd.unito.it/do/home.pl/View?doc=Submitting_your_application.html
<https://www.phd.unito.it/do/home.pl/View?doc=Submitting_your_application.ht…>*
Deadline for applying is *31st May 2022, h 12:00 noon (CEST Time)*
Notice that the application requires two reference letters, which should be
submitted via the same link *by the referees before the application
deadline*. The referees will be able to submit their letters only after the
candidate has input all the required information and closed their (part of
the) application. If the letters are not submitted by the deadline the
application will not be valid.
The positions are assigned to specific research projects which are
discussed during the interview together with the related scientific skills. The
list of the available projects - with a short description - is available at
the following link (the project funded by Hub Editoriale is the last on the
list)
https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje…
More information, including the official call and all relevant deadlines,
at the following link
https://www.dottorato.unito.it/do/home.pl/View?doc=Bando_XXXVIII_ciclo.html
where any additional scholarships and apprenticeship contracts (Legislative
Decree no. 81/2015 art.45), which may become available after the
publication of the call, will be also announced until the deadline.
Please feel free to circulate this message to potentially interested people.
Kind regards
EDN
--
%-------------------------------------------------------
Elvira Di Nardo
Dept. Mathematics "G. Peano"
University of Torino
Via Carlo Alberto 10
10123 Torino, Italia
tel. +39 0116702862
fax +39 0116702878
http://www.elviradinardo.it
%-------------------------------------------------------
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.…
Sorry for cross-posting and 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
Paola Siri
Probability, Statistics and Optimization group
Department of Mathematical Sciences "G. L Lagrange"
Politecnico di Torino
[cid:CE94D5CE-9C91-4F1E-9103-B02B2933C421]