Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Oslo
- ISGLOBAL
- CNRS
- Inria, the French national research institute for the digital sciences
- Tilburg University
- University of South Carolina
- California State University, Fullerton
- Cambridge, University of
- Cardiff University
- Centrale Supelec
- Centro de Engenharia Biológica da Universidade do Minho
- Curtin University
- Durham University
- Ecole Centrale de Lyon
- FCiências.ID
- Helmholtz-Zentrum Geesthacht
- Indiana University
- Institut Pasteur
- Instituto Superior Técnico
- LAUM UMR CNRS 6613
- Palevoprim
- Rutgers University
- Technical University Of Denmark
- Technical University of Denmark
- Ulster University
- Universitaet Muenster
- University of Bologna
- University of California, San Francisco
- University of Glasgow
- University of Liverpool
- University of Lund
- University of Nottingham
- University of Texas at El Paso
- 23 more »
- « less
-
Field
-
Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference
-
entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
-
of Bilateral Cochlear Implants Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives We aim at a functional version of a neuro-computational simulator of the cochlear implant user’s
-
lattice orientation by EBSD or local chemical composition by EDX [1]. For instance, an original protocol based on Bayesian inference was recently co-developed by LEM3 and ICA to determine the single-crystal
-
in the research group on “Statistical models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
Bayesian statistics, AI-assisted inverse problems, planetary remote sensing, and environmental monitoring. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09787 Requirements Skills
-
, methodologies, and information derived from Bayesian modeling, data science, cognitive science, and risk analysis. Its primary objective is to create advanced forecasting models, generate meaningful indicators
-
. et al. (2024). Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization. Scientific Reports 14, 10080. https://doi.org/10.1038/s41598-024-60478-9
-
concentrates on global design of the turbomachinery stages for decarbonization. PhD Objectives The overarching objective of the PhD thesis research project is to combine numerical tools with multiple levels
-
models) to test the emergence (initial radiation) and canalization of morphologies observed today throughout primate phylogenetic history, including fossil evidence. Objectives To implement a study of