Con preghiera di diffusione
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
Il Qfinlab, laboratorio di finanza quantitativa del Dipartimento di Matematica del Politecnico di Milano, sta valutando la possibilità di bandire un assegno di ricerca su tematiche relative all'Educazione Finanziaria. Eventuali persone interessate a partecipare al progetto possono inviare il loro cv all'indirizzo edufin(a)polimi.it<mailto:edufin@polimi.it> .
Per informazioni sul gruppo e sulle attività relative all'Educazione Finanziaria, si rimanda a www.qfinlab.polimi.it<http://www.qfinlab.polimi.it> e www.imparalafinanza.it<http://www.imparalafinanza.it>
Cordialmente
Daniele Marazzina
Ricevo e inoltro.
> Da: Mauro Petrucci <petrucci(a)altamatematica.it>
> Oggetto: Bando Concorso Ricercatore INdAM
> Data: 1 luglio 2019 16:15:43 CEST
>
> Cari Colleghi,
>
> vi informo che, come programmato, è stato bandito un Concorso Pubblico per Titoli ed Esami per l’assunzione di un Ricercatore a Tempo
> Indeterminato, III Livello professionale, presso l’Istituto Nazionale di Alta Matematica “F. Severi”.
> Le tematiche di ricerca previste sono quelle che non erano state coperte dal precedente bando.
>
> La scadenza per la presentazione delle domande è il giorno *28 luglio 2019*.
>
> Il bando e il modulo per la procedura on-line per la presentazione delle domande si trovano nella pagina web:
>
> https://www.altamatematica.it/ <https://www.altamatematica.it/>
>
> Cordiali saluti,
> Giorgio Patrizio
>
> ____________________
>
> Giorgio Patrizio
> Presidente INdAM
>
> Istituto Nazionale di Alta Matematica "Francesco Severi"
> Piazzale Aldo Moro, 5
> 00185 - Roma
> Italia
> tel. +39 06490320 - 064440665
Thursday 4 July 2019 at 14:30
Lorenzo Trippa, Harvard University and Dana-Farber Cancer Institute,
Department of Statistics and Computational Biology
CNR IMATI, Via A. Corti, 12, Milano, Aula B
*Adaptive trial design in glioblastoma*
There have been few treatment advances for patients with glioblastoma
(GBM) despite increasing scientific understanding of the disease. While
factors such as intrinsic tumor biology and drug delivery are challenges
to developing efficacious therapies, it is unclear whether the current
clinical trial landscape is optimally evaluating new therapies and
biomarkers. We queried ClinicalTrials.gov for interventional clinical
trials for patients with GBM initiated between January 2005 and December
2016 and abstracted data regarding phase, status, start and end dates,
testing locations, endpoints, experimental interventions, sample size,
clinical presentation/indication, and design to better understand the
clinical trials landscape. Only approximately 8%–11% of patients with
newly diagnosed GBM enroll on clinical trials with a similar estimate
for all patients with GBM. Trial duration was similar across phases with
median time to completion between 3 and 4 years. While 93% of clinical
trials were in phases I–II, 26% of the overall clinical trial patient
population was enrolled on phase III studies. We use the results of this
meta analysis to discuss pros and cons of trial designs in GBM. This
analysis includes platforms and the use of external controls. Platform
design allow to add new experimental arms to the clinical study when
they become available, while the aim of an external controls is to
leverage external data that were not generated from the clinical study.
--
Dr Antonio Pievatolo
IMATI-CNR
http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101
ph. +39 02 23699 520
For your information,
many thanks. Sara
---------- Forwarded message ---------
From: ricercaluiss <ricerca(a)luiss.it>
Date: Fri, Jun 28, 2019 at 9:57 AM
Subject: Upcoming Luiss Research Seminars Week of July 1-5, 2019
To: <sbiagini(a)luiss.it>
[image: banner]
*Upcoming Luiss Research Seminars* *Week of July 1-5, 2019*
*Tuesday, 2nd July*
------------------------------
*Department of Economics and Finance*
*Cagin Ararat*, Bilkent University
Set-Valued Quasiconvex Risk Measures
<http://mailsender.luiss.it/lists/lt.php?id=cRpWBAADSAQCCAZOVwhRDQ0>
Luiss | Viale Romania, 32 | Room 207, 10:30am-11:30am
------------------------------
*Department of Economics and Finance*
*Cagin Ararat*, Bilkent University
Computation of Systemic Risk Measures
<http://mailsender.luiss.it/lists/lt.php?id=cRpWBAAASAQCCAZOVwhRDQ0>
Luiss | Viale Romania, 32 | Room 207, 11:30am-1pm
------------------------------
*Department of Business and Management*
*Harris Kyriakou*, IESE Business School
A Relational Perspective on Consumption and Contribution in Online
Innovation Communities
<http://mailsender.luiss.it/lists/lt.php?id=cRpWBAABSAQCCAZOVwhRDQ0>
Luiss | Viale Romania, 32 | Room 303, 11:30am-1pm
------------------------------
*Ufficio Ricerca*
Luiss Guido Carli
Viale Romania, 32
ricerca(a)luiss.it
powered by phpList
<http://mailsender.luiss.it/lists/lt.php?id=cRpRTgADDQNPAw0HXQU>
--
Sara Biagini, Professor of Mathematical Finance
Department of Economics and Finance
LUISS Guido Carli
Address: viale Romania, 32 - 00197 Roma
Web: http://sites.google.com/site/sarabiagini/
I am pleased to announce the
Third Workshop on "Large Scale Random Structures"
Wed 10 - Thu 11 July 2019
Aula 3014, U5 building
Department of Mathematics and Applications, University of Milano-Bicocca
Co-sponsored by the PRIN 2015 Project "Large Scale Random Structures" (P.I. Fabio Martinelli)
See below for the program. More details on the webpage:
http://staff.matapp.unimib.it/~fcaraven/prin2015/workshop-2019/ <http://staff.matapp.unimib.it/~fcaraven/prin2015/workshop-2019/>
Participation is free, but registration is required (just contact me by email).
Francesco Caravenna
%%%%%%%%%%%%%%%%%%%%%%%%%%
PROGRAM
Wed 10 July
14:20 Opening
14:30-15:10 Elisabetta Candellero (Roma Tre)
Oil and water model on vertex transitive graphs
15:15-15:55 Vittoria Silvestri (Cambridge / Roma Sapienza)
Planar aggregation models with subcritical fluctuations
16:00-16:30 Coffee Break
16:30-17:10 Paolo Dai Pra and Marco Formentin (Padova)
Mean-field models with multiscale structure
17:15-17:55 Alexandre Stauffer (Roma Tre)
Competition in randomly growing processes
18:00-18:40 Massimo Campanino (Bologna)
Ornstein-Zernike behaviour for the correlation functions of the ground state of the quantum Ising model with transverse magnetic field
Evening: Social Dinner
Thu 11 July
09:00-09:40 Pietro Caputo (Roma Tre)
Mixing time of PageRank surfers on sparse random digraphs
09:45-10:25 Alessandra Bianchi and Samuele Stivanello (Padova)
Random walks in random media
10:30-11:00 Coffee Break
11:00-11:40 Francesca Collet (Padova)
Dynamical aspects of a Curie-Weiss model of self-organized criticality: moderate fluctuations
11:45-12:25 Francesca Nardi (Firenze)
Hitting time asymptotics for hard-core interactions on bipartite graphs
12:30-13:10 Alessandra Faggionato (Roma Sapienza)
Stochastic homogenization in amorphous media and applications to exclusion processes and random resistor network
13:15 Closing
%%%%%%%%%%%%%%%%%%%%%%%%%%
_________________________________________
Francesco Caravenna
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca
Via Cozzi 55, 20125 Milano, Italy
http://www.matapp.unimib.it/~fcaraven/
_________________________________________
We announce the forthcoming conference:
ECONOMETRICS IN THE ARENA 2019
at the Department of Economics of the University of Verona
on September 12-13, 2019.
Details and registration can be found at http://dse.univr.it/ecarena/
The conference will serve as a venue to discuss the most recent advances in
theoretical and applied econometrics in a vibrant research environment.
Invited speakers:
Federico Bandi (Johns Hopkins University)
Monica Billio (Ca' Foscari University of Venice)
Massimiliano Caporin (University of Padua)
Giuseppe Cavaliere (University of Bologna)
Valentina Corradi (University of Surrey)
Fulvio Corsi (University of Pisa)
Liudas Giraitis (Queen Mary - University of London)
Offer Lieberman (Bar-Ilan University)
Alessandra Luati (University of Bologna)
Tassos Magdalinos (University of Southampton)
Federico Martellosio (University of Surrey)
Paolo Paruolo (JRC - European Commission)
Eduardo Rossi (University of Pavia)
We hope you can attend and we look forward to your participation.
Organizers:
Roberto Renò, roberto.reno(a)univr.it
Francesca Rossi, francesca.rossi_02*univr.it <== Sostituire il carattere
| con . e il carattere * con @ per avere indirizzo email corretto.
----------------------------------------------------------------------------------------------------------------------------------
Open post-doc position at Géoazur in collaboration with Inria, at Sophia
Antipolis, France, in the research area: Curvilinear network detection
on satellite images using AI, stochastic models and deep learning.
EXTENDED Submission deadline July 31, 2019
----------------------------------------------------------------------------------------------------------------------------------
Open Position for a post-doc scientist at Géoazur
(https://geoazur.oca.eu/fr/acc-geoazur) in collaboration with Inria
(https://www.inria.fr/en/centre/sophia), at Sophia Antipolis (Nice
region), France, in the area of Computer Vision, Deep Learning and
Remote Sensing applied to curvilinear detection on both optical and SAR
satellite images (project abstract below).
Both Geoazur and Inria Sophia Antipolis are ideally located in the heart
of the French Riviera, inside the multi-cultural silicon valley of
Europe (ie. Sophia-Antipolis, see
https://en.wikipedia.org/wiki/Sophia_Antipolis).
This position is funded by University Côte d'Azur (UCA, see
http://univ-cotedazur.fr/en#.XOforoWTpT4).
Duration: 18 months
Starting date: between September 1st and December 1st 2019.
Salary: gross salary per month 3000 EUR (ie. approximately 2400 EUR net)
Please see full announcement
https://faultsrgems.oca.eu/images/FAULT/News/Post-doc_offer-AI-ManighettiZe…,
or on https://euraxess.ec.europa.eu/jobs/411481
Candidate profile
Strong academic backgrounds in Stochastic Modeling, Deep Learning,
Computer Vision, Remote Sensing and Parallel Programming with GPUs
and/or multicore CPUs. A decent knowledge of Earth and telluric features
(especially faults) will be appreciated.
To apply, please email a full application to both Isabelle Manighetti
(manighetti(a)geoazur.unice.fr) and Josiane Zerubia
(josiane.Zerubia(a)inria.fr), indicating “UCA-AI-post-doc” in the e-mail
subject.
The application should contain:
- a motivation letter demonstrating motivation, academic strengths
and related experience to this position.
- CV including publication list
- at least two major publications in pdf
- minimum 2 reference letters
Project abstract
Curvilinear structure networks are widespread in both nature and
anthropogenic systems, ranging from angiography, earth and environment
sciences, to biology and anthropogenic activities. Recovering the
existence and architecture of these curvilinear networks is an essential
and fundamental task in all the related domains. At present, there has
been an explosion of image data documenting these curvilinear structure
networks. Therefore, it is of upmost importance to develop numerical
approaches that may assist us efficiently to automatically extract
curvilinear networks from image data.
In recent years, a bulk of works have been proposed to extract
curvilinear networks. However, automated and high-quality curvilinear
network extraction is still a challenging task nowadays. This is mainly
due to the network shape complexity, low-contrast in images, and high
annotation cost for training data. To address the problems aroused by
these difficulties, this project intends to develop a novel,
minimally-supervised curvilinear network extraction method by combining
deep neural networks with active learning, where the deep neural
networks are employed to automatically learn hierarchical and
data-driven features of curvilinear networks, and the active learning is
exploited to achieve high-quality extraction using as few annotations as
possible. Furthermore, composite and hierarchical heuristic rules will
be designed to constrain the geometry of curvilinear structures and
guide the curvilinear graph growing.
The proposed approach will be tested and validated on extraction of
tectonic fractures and faults from a dense collection of satellite and
aerial data and “ground truth” available at the Géoazur laboratory in
the framework of the Faults_R_Gems project co-funded by the University
Côte d’Azur (UCA) and the French National Research Agency (ANR). Then we
intend to apply the new automatic extraction approaches to other
scenarios, as road extraction in remote sensing images of the Nice
region, and blood vessel extraction in available medical image databases.
--
Josiane Zerubia
INRIA Sophia-Antipolis Méditerranée
BP 93, 2004 Route des Lucioles
06902 Sophia-Antipolis Cedex - France
phone: +33 4 92 38 78 65, fax: +33 4 92 38 78 58
email: Josiane.Zerubia(a)inria.fr
web: http://www-sop.inria.fr/members/Josiane.Zerubia/index-eng.html
Gentili colleghi e colleghe,
vi segnalo il link al podcast di una puntata di radio 3 scienza della
settimana scorsa, in cui si e' parlato di Ernst e Martin Hairer e in cui mi
e' stato chiesto di intervenire (in diretta dal congresso di Vietri sul
Mare)
https://www.raiplayradio.it/audio/2019/06/RADIO3-SCIENZA-del-20062019---Di-…
Università degli Studi di Salerno
Dipartimento di Matematica
Si rende noto che nel periodo 25 giugno - 12 luglio 2019 si terrà il corso
di dottorato
"From Markov chains to semi-Markov processes: The consequences of time
change".
Le lezioni saranno tenute dal Prof. Enrico Scalas, Professor of Statistics
& Probability, University of Sussex, UK
(pagina web: http://www.sussex.ac.uk/profiles/330303)
e si terranno nella sala del consiglio del Dipartimento di Matematica
secondo il seguente calendario:
- lezione 1 (2 ore): martedì 25 giugno, ore 11:00-13:00;
- lezione 2 (3 ore): venerdì 28 giugno, ore 10:00-13:00;
- lezione 3 (3 ore): martedì 2 luglio, ore 10:00-13:00;
- lezione 4 (3 ore): giovedì 4 luglio, ore 10:00-13:00;
- lezione 5 (2 ore): martedì 9 luglio, ore 11:00-13:00;
- lezione 6 (3 ore): venerdì 12 luglio, ore 10:00-13:00.
Gli interessati sono invitati a partecipare.
I contenuti del corso sono riportati qui di seguito.
Research context
What happens if the discrete time at which innovations occur for a Markov
chain is replaced by a counting process? If the counting process is the
Poisson process, one still gets a Markov process. On the contrary, if the
counting process is of renewal type, the resulting process is no longer
Markovian: It becomes a semi-Markov process. Semi-Markov processes have
infinite memory and are naturally related to non-local operators in time
such as the so-called Caputo derivative that appears when the expected
values of inter-event times diverge. For this reason, there has been a
surge of interest on these processes in recent years.
Syllabus:
1. From Markov chains to semi-Markov processes: General framework (2 hours)
1.1 From the Poisson process to the fractional Poisson process
1.2 Time change and its consequences
2. Example 1: Continuous-time random walks (CTRWs) and applications (8
hours)
2.1 The diffusion equation and the normal compound Poisson process
2.2 The space-time fractional diffusion equation and CTRWs
2.3 Some applications
3. Example 2: Semi-Markov graph dynamics (6 hours)
Pre-requisites
The course will be accessible to first year PhD students (Corso di
Dottorato in Matematica, Fisica e Applicazioni). In fact, the main
pre-requisites are:
1. An introductory course in probability and statistics.
2. Fourier and Laplace transforms.
Learning objectives
After following this course, the students should be able:
1. To read and understand the recent literature on semi-Markov process
2. To perform calculations on continuous-time random walks and other
semi-Markov processes using elementary probabilistic methods
Essential references:
- Scalas, Enrico (2017) Continuous-time statistics and generalized
relaxation equations. European Physical Journal B: Condensed Matter and
Complex Systems, 90 (11). p. 209. ISSN 1434-6028.
- Baleanu, Dumitru, Diethelm, Kai, Scalas, Enrico and Trujillo, Juan J
(2016) Fractional calculus: models and numerical methods (2nd edition).
Series on complexity, nonlinearity and chaos, 5. World Scientific,
Singapore. ISBN 9789813140035.
- Georgiou, Nicos, Kiss, Istvan Z and Scalas, Enrico (2015) Solvable
non-Markovian dynamic network. Physical Review E, 92 (4). 042801. ISSN
1539-3755.