Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Chalmers University of Technology
- Cornell University
- University of Sheffield
- University of Oslo
- Rutgers University
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Indiana University
- McGill University
- Monash University
- Northeastern University
- Technical University of Denmark
- The Ohio State University
- University of Glasgow
- Aston University
- Auburn University
- CNRS
- Duke University
- Ghent University
- Harbin Engineering University
- ISGLOBAL
- Inria, the French national research institute for the digital sciences
- King Abdullah University of Science and Technology
- Lunds universitet
- Nature Careers
- SUNY Polytechnic Institute
- Singapore-MIT Alliance for Research and Technology
- Tilburg University
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- University of Colorado
- University of Manchester
- University of Michigan
- University of Minnesota
- University of South Carolina
- ;
- Bielefeld University
- Binghamton University
- Boston University
- California State University
- California State University, Fullerton
- California State University, Northridge
- Cambridge, University of
- Cardiff University
- Centrale Supelec
- Centro de Engenharia Biológica da Universidade do Minho
- Columbia University
- Curtin University
- Czech Technical University in Prague
- Dartmouth College
- Durham University
- Ecole Centrale de Lyon
- FCiências.ID
- Fermilab
- Florida Atlantic University
- Florida State University
- Harvard University
- Helmholtz-Zentrum Geesthacht
- Hokkaido University
- IMT Atlantique
- Imperial College London
- Institut Pasteur
- Istituto Nazionale di Geofisica e Vulcanologia
- Johannes Kepler University
- KINGS COLLEGE LONDON
- KTH Royal Institute of Technology
- KU LEUVEN
- LAUM UMR CNRS 6613
- LInköpings universitet
- Lehigh University
- Linköping University
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Massachusetts Institute of Technology
- Michigan State University
- Montana State University
- Nanyang Technological University
- National Aeronautics and Space Administration (NASA)
- North Carolina State University
- Pennsylvania State University
- RIKEN
- Radboud University
- Rice University
- SUNY University at Buffalo
- SciLifeLab
- Swansea University
- Swedish University of Agricultural Sciences
- Technical University Of Denmark
- The Belgian Nuclear Research Centre
- The Peace Research Institute Oslo (PRIO)
- The University of Alabama
- The University of Manchester;
- UCL
- UCL;
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Ulster University
- Umeå universitet
- Universitaet Muenster
- 90 more »
- « less
-
Field
-
biostatistical training and skills, including longitudinal and correlated data; familiarity with advanced analytics including machine learning, Bayesian methods, and causal inference also desired. Strong written
-
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
-
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
-
programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning. In particular, you will be part of the Causality team under the supervision
-
generation of health data scientists. Areas of expertise include bioinformatics, computational biology, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization
-
in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
-
computers lack such abilities. The goal of the Adaptive Bayesian Intelligence Team is to bridge such gaps between the learning of living-beings and computers. We are machine learning researchers with
-
. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
-
valuable. Experience with population-level modeling approaches, including hierarchical or Bayesian modeling frameworks. Experience conducting research in Southeast Asia or comparable tropical field contexts
-
valuable. Experience with population-level modeling approaches, including hierarchical or Bayesian modeling frameworks. Experience conducting research in Southeast Asia or comparable tropical field contexts