Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- The University of South Dakota
- University of Maine
- University of Oslo
- Aalborg University
- Indiana University
- King Abdullah University of Science and Technology
- Nature Careers
- University of Amsterdam (UvA)
- Aalborg Universitet
- Aarhus University
- Argonne
- Brookhaven Lab
- Brookhaven National Laboratory
- Centro de Investigación en Matemáticas
- Chalmers University of Technology
- Dartmouth College
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Duke University
- ETH Zürich
- Emory University
- Fred Hutchinson Cancer Center
- Georgetown University
- Inria, the French national research institute for the digital sciences
- Institut de Físiques d'Altes Energies (IFAE)
- Instytut Paleobiologii Polska Akademia Nauk
- Johns Hopkins University
- KINGS COLLEGE LONDON
- KTH Royal Institute of Technology
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Physics, Garching
- McGill University
- Nantes Université
- National Aeronautics and Space Administration (NASA)
- North Carolina State University
- Oak Ridge National Laboratory
- Purdue University
- RIKEN
- SciLifeLab
- The University of Arizona
- UNIVERSITY OF HELSINKI
- Umeå University
- University College Dublin
- University of Amsterdam (UvA); Published yesterday
- University of Amsterdam (UvA); yesterday published
- University of California, Santa Cruz
- University of Florida
- University of Idaho
- University of Luxembourg
- University of Minnesota
- University of Oxford
- University of Oxford;
- University of Washington
- Université Grenoble Alpes
- Virginia Tech
- 48 more »
- « less
-
Field
-
-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department Contact for Questions Songhu Wang (sw121@iu.edu) Additional
-
Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 20 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
-
projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
-
School of Mathematics and Statistics is seeking to recruit a post-doctoral researcher with experience in statistical modelling, Bayesian methods and related computational skills. This is a temporary, 21
-
. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
-
application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
-
Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
-
well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong writing and programming skills are essential. A proven record of publishing in high-quality journals and presenting
-
. The work will apply state-of-the-art three-dimensional atmospheric chemistry and circulation models, together with advanced statistical techniques (optimal Bayesian, Markov Chain-MonteCarlo, etc.) to solve
-
applications. The project aims to address fundamental theoretical questions related to the representation and measurement of the polarization state, as well as the use of Bayesian and/or statistical learning