Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- The University of South Dakota
- Aalborg University
- CNRS
- Purdue University
- University of Washington
- Aalborg Universitet
- Centro de Investigación en Matemáticas
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Fred Hutchinson Cancer Center
- French National Research Institute for Sustainable Development
- Georgetown University
- Inria, the French national research institute for the digital sciences
- Institut de Físiques d'Altes Energies (IFAE)
- Johns Hopkins University
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- Max Planck Institute for Physics, Garching
- Nature Careers
- RIKEN
- SciLifeLab
- The Ohio State University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published yesterday
- University of Idaho
- University of Maine
- University of Minnesota
- University of Sydney
- 19 more »
- « less
-
Field
-
Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 5 hours ago
and BAT.jl projects. The position also offers opportunities to contribute to research in Bayesian inference and its application to physics in general. The DEMOS project aims to develop state-of-the-art
-
uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
-
: Cuantificación de Incertidumbre Bayesiana (Bayesian Uncertainty Quantification, BUQ) Appl Deadline: 2025/10/30 11:59PM * (posted 2025/09/08, listed until 2025/10/30) Position Description: Apply Position
-
Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 3 days ago
dynamics in health and pathology; (2) in silico models, including Bayesian models, neural mass models and spiking neural networks; (3) in vitro neuronal network measurements. Our aim is to innovate in
-
) physics. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track
-
Observatory Network to model individual size distributions of macroinvertebrates and fish. This will include extensive travel to field sites throughout the US to conduct in situ metabolic scaling experiments
-
Observatory Network to model individual size distributions of macroinvertebrates and fish. This will include extensive travel to field sites throughout the US to conduct in situ metabolic scaling experiments
-
Observatory Network to model individual size distributions of macroinvertebrates and fish. This will include extensive travel to field sites throughout the US to conduct in situ metabolic scaling experiments
-
, 2022) and extended this to the triple equivalence between neural dynamics, Bayesian inference, and algorithmic computation (Commun Phys, 2025). -We validated it within in vitro neural networks (Nature
-
areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization