Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Cranfield University
- Chalmers University of Technology
- DAAD
- Technical University of Denmark
- ;
- Technical University of Munich
- NTNU - Norwegian University of Science and Technology
- SciLifeLab
- Ghent University
- Susquehanna International Group
- Curtin University
- ; The University of Manchester
- Fraunhofer-Gesellschaft
- ; University of Warwick
- Linköping University
- University of Groningen
- University of Nottingham
- University of Tübingen
- ; University of Nottingham
- Aalborg University
- Lulea University of Technology
- University of Luxembourg
- University of Twente
- ; University of Exeter
- Monash University
- Queensland University of Technology
- RMIT University
- Vrije Universiteit Brussel
- ; Swansea University
- ; University of Leeds
- ; University of Surrey
- ; City St George’s, University of London
- ; Cranfield University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Southampton
- Abertay University
- CWI
- Carnegie Mellon University
- Imperial College London
- Leibniz
- Leiden University
- Radix Trading LLC
- Swinburne University of Technology
- Umeå University
- University of Adelaide
- University of Cambridge
- University of Münster •
- University of Nebraska–Lincoln
- University of Southern Denmark
- VIB
- Wageningen University and Research Center
- Østfold University College
- ; Aston University
- ; Brunel University London
- ; Durham University
- ; Loughborough University
- ; Queen Mary University of London
- ; Technical University of Denmark
- ; UWE, Bristol
- ; University of Aarhus
- ; University of East Anglia
- ; University of Greenwich
- ; University of Oxford
- ; University of Strathclyde
- ; University of Sussex
- Aarhus University
- Ariel University
- Binghamton University
- Blekinge Institute of Technology
- Canadian Association for Neuroscience
- Cornell University
- Deutsches Elektronen-Synchrotron DESY •
- Empa
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Hannover Medical School •
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- ICN2
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institutes
- McGill University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Research Council Canada
- Newcastle University
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- Purdue University
- Radboud University
- 89 more »
- « less
-
Field
-
Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics” - a multidisciplinary research effort at the intersection of machine learning and materials science. This
-
, machine learning, electrical engineering, or a related field. The ideal candidate will have some of the following skills such as: Computer vision and machine learning: A solid understanding of image and
-
modeling of dynamic systems. Experience with machine learning or AI methods applied to robotics (e.g. reinforcement learning for control, or data-driven modeling) is a plus, especially if applied in
-
consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
-
and documented background in machine learning, deep learning, data analysis and programming. Previous experience in research and knowledge in bioinformatics, biophysics, biochemistry, molecular biology
-
, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation explore and evaluate usability of system architectures such as
-
, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
-
Research Back Profile Areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster
-
sciences Economic and Administrative sciences Maritime sciences Social sciences and Humanities. The Faculty is also responsible for PhD programmes in computer technology, innovation and regional development
-
criteria Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic systems, optimization techniques, and/or machine learning. Experience with