Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Oslo
- Monash University
- National University of Singapore
- Delft University of Technology (TU Delft)
- University of Glasgow
- City of Hope
- Ghent University
- Inria, the French national research institute for the digital sciences
- Lancaster University
- Macquarie University
- Oak Ridge National Laboratory
- Pennsylvania State University
- SciLifeLab
- University of Birmingham
- University of Cambridge
- University of Cambridge;
- Zintellect
- AALTO UNIVERSITY
- Basque Center for Applied Mathematics
- Brandeis University
- Brandenburgische Technische Universität Cottbus
- California Institute of Technology
- Chalmers University of Technology
- Constructor Knowledge Labs gGmbH
- Cornell University
- Duke University
- European Molecular Biology Laboratory (EMBL)
- Forschungszentrum Jülich
- Harvard University
- Human Technopole
- INSERM
- Imperial College London
- Indiana University
- Institut Pasteur
- Institut national de l'information géographique et forestière IGN
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- International PhD Programme (IPP) Mainz
- KU LEUVEN
- Loyola University
- Michigan State University
- NIST
- NTNU - Norwegian University of Science and Technology
- New York University
- Norwegian University of Life Sciences (NMBU)
- SUNY University at Buffalo
- Sejong University
- The University of Alabama
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- Umeå University
- University of Agder
- University of Alabama at Birmingham
- University of British Columbia
- University of California
- University of Connecticut
- University of Florida
- University of London
- University of Manchester
- University of Michigan
- University of Nottingham
- University of Otago
- University of Pennsylvania
- University of Sheffield
- University of Surrey
- University of Texas at Austin
- University of Turku
- University of Utah
- University of Vienna
- University of Virginia
- University of Washington
- Uppsala universitet
- Wageningen University & Research
- Yale University
- 63 more »
- « less
-
Field
-
uncertainty about those conclusions (uncertainty quantification). Bayesian inference and experimental design methods are increasingly used in scientific practice, and offer appealing theoretical guarantees when
-
Bayesian frameworks; real-time inference of transmission dynamics and variant fitness; and the development of semi-mechanistic models for arbovirus lineage surveillance across South and South-East Asia
-
Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
-
for Bayesian inference, inverse problems, uncertainty quantification, and scientific machine learning, with applications in environmental, scientific, and industrial imaging. The role/Te mahi We invite
-
. Our department is internationally recognized for its research in statistical methodology and theory, machine learning, applied statistics, Bayesian inference, and biostatistics, and its faculty
-
computation, GPU and differentiable programming, or AI-assisted scientific software development. The postholder will also develop GPU-accelerated Bayesian inference methods, including nested sampling, publish
-
. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
-
. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
-
primarily on NVIDIA and AMD hardware); a GR ray-tracing code (in Julia) that produces images and spectra from those simulations, and is designed to conduct Bayesian parameter inference; semi-analytic jet and
-
to integrate heterogeneous molecular data, but are often less explicit about biological directionality and causal inference. This project instead builds on the structure of the central dogma, using genetic