Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Nature Careers
- University of Groningen
- Cranfield University
- Technical University of Denmark
- RMIT University
- University of Cambridge
- DAAD
- University of British Columbia
- Technical University of Munich
- Curtin University
- Purdue University
- SciLifeLab
- ; University of Warwick
- Leibniz
- ; University of Reading
- Chalmers University of Technology
- Georgetown University
- Ghent University
- Monash University
- Queensland University of Technology
- The University of Iowa
- Universidad Nacional Autónoma de México
- University of Luxembourg
- University of Nottingham
- University of Oslo
- University of Tübingen
- ; Durham University
- ; Swansea University
- ; University of Exeter
- Erasmus University Rotterdam
- Institut Pasteur
- Leiden University
- Ludwig-Maximilians-Universität München •
- NTNU - Norwegian University of Science and Technology
- Temple University
- University of Newcastle
- University of Twente
- ; Edge Hill University
- ; University of Sheffield
- ; University of Surrey
- Abertay University
- CWI
- Duke University
- Edge Hill University
- Friedrich Schiller University Jena •
- Goethe University Frankfurt •
- KNAW
- Lincoln University
- THE UNIVERSITY OF HONG KONG
- The Ohio State University
- University of Adelaide
- University of Copenhagen
- University of Florida
- University of Göttingen •
- University of Konstanz •
- University of Nebraska–Lincoln
- University of North Carolina at Chapel Hill
- University of Oregon
- University of Oxford
- University of Pittsburgh
- University of Southern Denmark
- University of Tennessee at Chattanooga
- Wageningen University and Research Center
- ; Brunel University London
- ; Cranfield University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; Max Planck Institute for Psycholinguistics
- ; Midlands Graduate School Doctoral Training Partnership
- ; Newcastle University
- ; The University of Manchester
- ; Trinity College Bristol
- ; UCL
- ; University of Birmingham
- ; University of Bristol
- ; University of Cambridge
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Nottingham
- ; University of Oxford
- ; University of Southampton
- ; University of Sussex
- Aalborg University
- Ariel University
- Arizona State University
- CISPA (at University of Stuttgart)
- ETH Zurich
- East Carolina University
- Fermilab
- Forschungszentrum Jülich
- Freie Universität Berlin •
- Fudan University
- Heidelberg University
- Humboldt-Universität zu Berlin •
- Imperial College London
- Indiana University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- MPINB
- Max Planck Institute for Infection Biology •
- 90 more »
- « less
-
Field
-
the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field
-
methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
-
Processing/Control Path Planning/Trajectory Planning Multi-Target Tracking/Multi-Object Tracking, Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches in radar
-
Bayesian methods, deep learning, deep generative models, reinforcement learning, graph neural networks. Interviews are expected to happen in July 2025. Applicants are encouraged to guarantee that referees
-
Bayesian methods, deep learning, deep generative models, reinforcement learning, graph neural networks. Interviews are expected to happen in July 2025. Applicants are encouraged to guarantee that referees
-
optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
-
Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly
-
challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
-
. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
-
modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be