Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- DAAD
- Utrecht University
- Technical University of Denmark
- Ghent University
- Chalmers University of Technology
- ; The University of Manchester
- Monash University
- Technical University of Munich
- ;
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- University of Nottingham
- Humboldt-Stiftung Foundation
- Vrije Universiteit Brussel
- ; University of Oxford
- Curtin University
- Swinburne University of Technology
- University of Southern Denmark
- ; Cranfield University
- ; Loughborough University
- ; Swansea University
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Forschungszentrum Jülich
- Hannover Medical School •
- KNAW
- Leibniz
- Trinity College Dublin
- University of Adelaide
- University of Cambridge
- University of Groningen
- University of Potsdam •
- Wageningen University and Research Center
- ; Aston University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bristol
- ; University of East Anglia
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Sussex
- Ariel University
- Arizona State University
- European Magnetism Association EMA
- Fraunhofer-Gesellschaft
- Freie Universität Berlin •
- Imperial College London
- Institut Pasteur
- James Cook University
- La Trobe University
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Norwegian Meteorological Institute
- SciLifeLab
- Technische Universität Berlin •
- The University of Iowa
- UiT The Arctic University of Norway
- Ulm University •
- Umeå University
- Universiteit van Amsterdam
- University of Bremen •
- University of Copenhagen
- University of Göttingen •
- University of Newcastle
- University of Oslo
- University of Sheffield
- University of Stuttgart •
- University of Twente
- Virginia Tech
- WIAS Berlin
- 65 more »
- « less
-
Field
-
networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making
-
the behaviour of energetic materials both at the microscopic (i.e. crystal deformation and failure) and macroscopic levels. Numerical techniques for the generation of digital twins and modelling
-
representing curved surfaces with piecewise linear approximations. The error introduced by using FE is particularly limiting when modelling dynamic events, as numerical dispersion and dissipation error of waves
-
, little code development and programming is expected since our numerical models and tools have been developed and have a long, successful background. However, analyzing simulation results and spacecraft
-
knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
-
The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
-
alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
-
programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our
-
methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
-
environments with minimal environmental impact. We are recognized nationally and internationally for our excellence in numerical and computational modelling, experimental innovations, our collaborations with