Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- UNIV GRENOBLE ALPES (EPE)
- Institut Pasteur
- UNIVERSITE LIMOGES
- UNIVERSITE LYON 1
- INST NAT LANG CIV ORIENT PARIS
- UNIVERSITE COTE D'AZUR
- CEA
- UNIVERSITE PARIS 13
- MUSEUM NAT HISTOIRE NAT PARIS
- UNIVERSITE PARIS CITE
- ECOLE NORMALE SUPERIEURE PARIS
- European Magnetism Association EMA
- LA ROCHELLE UNIVERSITE
- UNIV TOULOUSE CAPITOLE (EPE)
- Université Côte d'Azur
- UNIVERSITE DE MONTPELLIER
- UNIVERSITE PARIS-SACLAY
- UNIVERSITE DE TOULON
- UNIVERSITE POITIERS
- Université Grenoble Alpes
- CNAM PARIS
- EC NAT SUP ELECT APPL CERGY
- ECOLE NORMALE SUP RENNES
- ENS CHIMIE PARIS
- Ecole Normale Supérieure
- IMT
- INSA DE RENNES
- INST POLYTECHNIQUE GRENOBLE
- INSTITUT AGRO DIJON
- Institut Thématique Interdisciplinaire IRMIA++
- MADIREL
- UNIVERSITE DE RENNES (EPE)
- UNIVERSITE GUSTAVE EIFFEL
- UNIVERSITE MARIE ET LOUIS PASTEUR
- UNIVERSITE PARIS 8
- UNIVERSITE TOURS
- Université de Montpellier
- 28 more »
- « less
-
Field
-
the understanding of deep latent variables models for unsupervised learning with massive and evolving heterogenous data. Although deep learning methods and their statistical extensions, the deep latent
-
PyTorch or TensorFlow is a plus. Useful Information/Bibliography: [1] Tian Li, Anit Kumar Sahu, Ameet Talwalkar, and Virginia Smith. Federated learning: Challenges, methods, and future directions. IEEE
-
Educational sciences » Teaching methods Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country France Application Deadline 31 Mar
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover
-
at the department integrate basic and translational, molecular and computational approaches with a focus on cancer biology, as well as clinical research projects in human health and disease. The DLSM cooperates with
-
redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
-
methods to decipher the transformation of sounds both at the peripheral and central levels. Project summary The aim of this project is to study how information about sound frequency or intensity
-
microarchitectural vulnerabilities and/or formally prove the robustness, for a given fault model, of various RISC-V based processors. We have also developed binary-level program analysis methods (BINSEC/ASE) able
-
partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments