Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Utrecht University
- Fraunhofer-Gesellschaft
- ; The University of Manchester
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- ETH Zurich
- University of Groningen
- ; Swansea University
- ; University of Warwick
- CNRS
- DAAD
- ETH Zürich
- Ghent University
- Heidelberg University
- SciLifeLab
- Technical University of Denmark
- Technical University of Munich
- ;
- ; Loughborough University
- ; University of Sheffield
- Cranfield University
- Curtin University
- IMT Atlantique
- Swedish University of Agricultural Sciences
- Umeå University
- University of Adelaide
- University of Bergen
- University of Luxembourg
- ; University of Nottingham
- Copenhagen Business School , CBS
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Bremen
- University of Bremen •
- University of Iceland
- University of Twente
- Universität Hamburg •
- Vrije Universiteit Amsterdam (VU)
- ; Coventry University Group
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Leeds
- ; University of Southampton
- ; University of Surrey
- Arizona State University
- Aston University
- CWI
- EPFL
- Fraunhofer IWES
- Hebrew University of Jerusalem
- Heidelberg University •
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- INSA de LYON
- Inria, the French national research institute for the digital sciences
- Institute of Physics, Zagreb
- Instituto de Engenharia Mecânica
- Justus Liebig University Giessen •
- KNAW
- Karlsruhe Institute of Technology •
- Leibniz
- Leiden University
- Luxembourg Institute of Science and Technology
- Maastricht University (UM)
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Monash University
- Mälardalen University
- National Research Council Canada
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- Saarland University •
- Swinburne University of Technology
- TU Bergakademie Freiberg
- Tampere University
- Technical University Of Denmark
- The University of Sydney
- Tilburg University
- Universidad de Alicante
- Universiteit van Amsterdam
- University of A Coruña
- University of Bonn •
- University of Göttingen •
- University of Innsbruck
- University of Konstanz •
- University of Münster •
- University of Nebraska Lincoln
- University of Nebraska–Lincoln
- University of Nottingham
- University of Strasbourg
- University of Stuttgart •
- University of Sydney
- University of Twente (UT)
- Université Gustave Eiffel
- Université de Sherbrooke
- Vrije Universiteit Brussel (VUB)
- Wageningen University and Research Center
- 89 more »
- « less
-
Field
-
requires background and skills in some of the following areas: surface water hydraulics/hydrodynamics, numerical modelling of physical processes in coastal and/or riverine environments (waves, hydrodynamics
-
explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve using tools from
-
computing Advanced knowledge of numerical methods Geophysical fieldwork experience, preferably with GPR, EMI and ERT Strong English writing skills Since the work involves interdisciplinary cooperation with
-
-field measurements, HPC-based numerical simulations, and laboratory experiments. Oldenburg is particularly renowned for its unique large wind tunnel with an active grid and leading expertise in developing
-
breeding and cultivation methods. Thus, we try to speed up the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and
-
), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
-
to structural level based on theoretical, numerical and experimental investigations. The Concrete group is involved in several national and international research projects, it has a close collaboration with the
-
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
-
the introduction of new tools for the analysis of such equations both from the theoretical and numerical point of views. This project will contribute to the development of such methods. This PhD project focuses
-
Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in numerical optimization and simulation models. Proficiency in one of the major programming