Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Nature Careers
- Forschungszentrum Jülich
- CNRS
- Technical University of Denmark
- University of Luxembourg
- ETH Zürich
- NTNU - Norwegian University of Science and Technology
- Biomedical Center, LMU Munich
- Leibniz
- University of Potsdam •
- ; The University of Manchester
- AMOLF
- Abertay University
- Brandenburg University of Technology Cottbus-Senftenberg •
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Duke University
- Freie Universität Berlin •
- Instituto Superior Técnico
- KNAW
- NORTHUMBRIA UNIVERSITY
- OsloMet
- Tallinn University of Technology
- Technical University of Munich
- University College Dublin
- University of Basel
- University of Bremen •
- University of Southern Denmark
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ; Aston University
- ; Loughborough University
- ; Swansea University
- ; University of Sheffield
- ; University of Southampton
- Arts et Métiers Institute of Technology (ENSAM)
- Brunel University London
- Chalmers University of Techonology
- Cracow University of Technology
- Cranfield University
- Curtin University
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Empa
- FEUP
- Fluxim AG
- Fureho AB
- Graz University of Technology
- Heidelberg University •
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Institute of Physics, Zagreb
- Instituto de Engenharia Mecânica
- Julius-Maximilians-Universität Würzburg •
- Justus Liebig University Giessen •
- KU LEUVEN
- Karlsruhe Institute of Technology •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute of Biochemistry •
- Medizinische Universitaet Wien
- Monash University
- Mälardalen University
- NTNU Norwegian University of Science and Technology
- Norwegian Meteorological Institute
- Saarland University •
- School of Business, Society and Engineering
- Swinburne University of Technology
- TU Bergakademie Freiberg
- Technical University Of Denmark
- Tilburg University; Tilburg
- Trinity College Dublin
- UNIVERSIDAD POLITECNICA DE MADRID
- UiT The Arctic University of Norway
- Universidade de Coimbra
- Universiteit van Amsterdam
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of Birmingham
- University of Bonn •
- University of British Columbia
- University of California
- University of California Davis
- University of Cambridge;
- University of Göttingen •
- University of Iceland
- University of Innsbruck
- University of Konstanz •
- University of Münster •
- University of Nebraska–Lincoln
- University of Sheffield
- University of Strathclyde;
- University of Stuttgart •
- University of Texas at Austin
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- 90 more »
- « less
-
Field
-
necessary to consider also the control methods through which it is possible to increase both machine efficiency and controller efficiency. The overall goal of the project is to develop the control methodology
-
mandatory core focus, the PhD position allows room for the individual research interests of the applicant to shape specific aspects—whether in modeling strategy, applied machine learning methods
-
fuels (hydrogen, methanol, ammonia), simulation tools for marine engines and/or fires due to fuel leakages, data analysis methods and their applications for ships, sufficient understanding of appropriate
-
organisation. The hallmark of research is the combination of organismic, evolutionary, and molecular biology utilising a wide array of methods. Neuroscience Neuroscience is one of the most rapidly developing
-
understandable 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
-
have the knowledge and abilities necessary for such endeavours as well as being theoretically and methodically competent in relation to the subjects at hand. Language requirements Candidates must be
-
skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
-
Program (PRR Workplan: (1) Numerical simulation of the behaviour of connections between prefabricated concrete walls using finite elements; (2) Case study analysis; (3) Processing and analysis of results
-
methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
-
symposium Advanced methods and specialised training Transferable skills and career development Other curricular activities including an IMPRS-ML retreat In addition to the curricular activities organised by