Ricevo e inoltro,
cari saluti
Cristina
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Dear colleagues,
The Fondation Sciences Mathématiques de Paris supports research and training in Mathematics and in fundamental Computer Science through its various programs: research chairs of excellence, postdoctoral positions, doctoral allowances, master scholarships. The positions are mainly located in Paris or in Paris area. For academic year 2025-2026, see schedule of deadlines below (at 11:59 p.m., Paris time). Feel free to circulate this message to your contacts.
Paris Graduate School for Mathematical Sciences (master scholarships):
Call (open to international students): from Monday November 4th 2024 to Thursday February 6th 2025
Offer description: https://sciencesmaths-paris.fr/en/pgsm-master
FSMP Postdoctoral program:
from Tuesday October 1st to Friday November 29th 2024
Offer description: https://www.sciencesmaths-paris.fr/en/postdoc-fsmp
MathPhDInFrance (doctoral program):
from Tuesday December 17th 2024 to Friday February 14th 2025
Offer description: https://mathphdinfrance.fr/
Research Chairs of excellence:
from Tuesday October 1st to Friday November 29th 2024
Offer description: https://sciencesmaths-paris.fr/en/nos-programmes-en/les-chaires-fsmp
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Cristina Toninelli
Postal Address: Ceremade
Univ.Paris Dauphine
Place du Marechal de Lattre de Tassigny
75775 Paris Cedex 16 - France
Office: P207bis
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Apologies for cross posting.
Con preghiera di diffusione. Il candidato ideale deve avere della solide
basi in inferenza Bayesiana da un punto di vista statistico piuttosto che
Machine Learning.
Cordiali Saluti,
Fabrizio Leisen
Professor of Statistics
Head of the Statistics Group
King’s College London
Department of Mathematics
Strand | WC2R 2LS | London
---------- Forwarded message ---------
Da: Kevin Wilson <0000c562ec979ac8-dmarc-request(a)jiscmail.ac.uk>
Date: mer 30 ott 2024 alle ore 14:41
Subject: JOB: Research Associate in Bayesian Statistics, Newcastle
University
To: <allstat(a)jiscmail.ac.uk>
JOB: Research Associate in Bayesian Statistics
School of Mathematics, Statistics and Physics, Newcastle University
Full advert: Research Associate in Bayesian Statistics Job Details |
Newcastle University<
https://jobs.ncl.ac.uk/job/Newcastle-Research-Associate-in-Bayesian-Statist…
>
Applications are invited for a Research Associate position in Bayesian
Statistics, for a period of 24 months.
The project is at the forefront of Bayesian inference and aims to design a
novel Bayesian methodology to implement Bayesian Additive Regression Trees
(BART) models to deal with non-linear phenomena. In particular, the aim is
to bridge the Loss-based methodology to the framework of BART, building on
the previous works of Prof Cristiano Villa and Prof Fabrizio Leisen on
model selection, linear regression models and Gaussian graphical models.
The successful candidate will work on developing prior distributions to
estimate the structure of the trees and the number of trees in a BART
model, and building scalable and efficient computational tools to ease the
implementation of the methodology.
The candidate must have a solid background in computational methods for
Bayesian inference to develop efficient algorithms for the new proposed
modelling framework. Within the project, the candidate will also perform
theoretical modelling and data analysis, as well as disseminate the outputs
through publications and presentations at scientific meetings.
The successful candidate will join the growing Statistics & Data Science
group at Newcastle University and interact with the Statistics group at
King's College London.
The position is offered on a fixed term basis for two years from the start
date. Generous funds are available for travel, training and other support.
To apply, please complete the online application and attach a CV and
covering letter. In your covering letter, please outline how you are either
working towards, meet or exceed all the essential requirements for the role
holder as outlined in the full advertisement, and highlight any expertise
relevant to the described project.
For all information enquiries about the position, please contact Prof Kevin
Wilson (kevin.wilson(a)newcastle.ac.uk) Prof Cristiano Villa (
cristiano.villa(a)dukekunshan.edu.cn) or Prof Fabrizio Leisen (
fabrizio.leisen(a)kcl.ac.uk)
You may leave the list at any time by sending the command
SIGNOFF allstat
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