Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- Ghent University
- Forschungszentrum Jülich
- DAAD
- Leibniz
- ;
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- Cranfield University
- University of Southern Denmark
- Utrecht University
- Leiden University
- Technical University of Munich
- University of Copenhagen
- University of Nottingham
- ; University of Exeter
- Cornell University
- Erasmus University Rotterdam
- Monash University
- Radboud University
- ; The University of Manchester
- CWI
- Chalmers University of Technology
- Curtin University
- Duke University
- Humboldt-Stiftung Foundation
- University of Adelaide
- University of Sheffield
- ; Cranfield University
- ; Swansea University
- ; University of Birmingham
- ; University of Bristol
- SciLifeLab
- UiT The Arctic University of Norway
- University of Twente
- University of Utah
- University of Vienna
- ; City St George’s, University of London
- ; Technical University of Denmark
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- ICN2
- Imperial College London
- Max Planck Institute for Demographic Research (MPIDR)
- Swedish University of Agricultural Sciences
- Umeå University
- Universite de Moncton
- University of Antwerp
- University of Göttingen •
- University of Münster •
- University of Newcastle
- University of Oregon
- University of Potsdam •
- VIB
- Wageningen University and Research Center
- Østfold University College
- ; Aston University
- ; Brunel University London
- ; King's College London
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Reading
- ; University of Sheffield
- ; University of Surrey
- CEA
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Ecole Polytechnique Federale de Lausanne
- Empa
- Hannover Medical School •
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- KNAW
- Leibniz Centre for Agricultural Landscape Research (ZALF)
- Lulea University of Technology
- MPINB
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for Plant Breeding Research •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Molecular Plant Physiology •
- NORCE
- National Institute for Bioprocessing Research and Training (NIBRT)
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- Swinburne University of Technology
- The University of Chicago
- The University of Newcastle
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Universiti Teknologi PETRONAS
- University of California Davis
- University of Cambridge
- University of Cologne •
- University of Glasgow
- 90 more »
- « less
-
Field
-
on these materials, which will be used to implement high frequency and high efficiency IVRs for HPC applications. Objectives:-Fabrication, characterization and modeling of the composite magnetic materials.-Modeling
-
competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
-
contributes to the improvement of climate prediction models. The Atmospheric Chemistry and Atmospheric Microphysics departments are looking for a committed doctoral student to carry out this project. You can
-
analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
-
management platform that connects institutes to facilitate a rapid and efficient exchange among experimental and computational groups Devising an approach in invertible predictive modeling that links
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms