Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Monash University
- University of Oslo
- Ghent University
- Inria, the French national research institute for the digital sciences
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Manchester
- Boston University
- CNRS
- Cambridge, University of
- Centrale Supelec
- Chalmers University of Technology
- Columbia University
- Indiana University
- Instituto Superior Técnico
- Johannes Kepler University
- KTH Royal Institute of Technology
- KU LEUVEN
- King Abdullah University of Science and Technology
- LAUM UMR CNRS 6613
- LInköpings universitet
- Linköping University
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Massachusetts Institute of Technology
- McGill University
- Palevoprim
- RIKEN
- Rutgers University
- SUNY Polytechnic Institute
- Technical University of Munich
- The Belgian Nuclear Research Centre
- The Ohio State University
- The Peace Research Institute Oslo (PRIO)
- The University of Manchester;
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University College Dublin
- University of Amsterdam (UvA)
- University of Birmingham
- University of Bologna
- University of British Columbia
- University of California Los Angeles
- University of Idaho
- University of Lund
- University of Michigan
- University of Minnesota
- University of Nebraska–Lincoln
- University of Nottingham
- University of South Carolina
- University of Texas at Arlington
- University of Texas at El Paso
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 45 more »
- « less
-
Field
-
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
-
expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
-
Regulation forResearch Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: Computer and Robot Vision Laboratory (VISLAB Website
-
, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
-
specimens to estimate historical age structures over the last 150 years. Forecasting Shifts in the Pollination Service Window. The researcher will use Bayesian inference (e.g., Integrated Nested Laplace
-
equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
-
preparatory cycle), the engineering cycle as a student and/or apprentice, and the Master’s degree programme (M1 and M2). He/she will primarily contribute to teaching computer architecture and microprocessors
-
. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value
-
subcellular mechanisms (proliferation, differentiation) with multicellular mechanical and biochemical interactions. Apply Advanced Statistical Methods: Perform Bayesian parameter estimation and identifiability