Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- CNRS
- Leiden University
- University of Groningen
- DAAD
- Monash University
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- University of Adelaide
- Curtin University
- Linköping University
- Umeå University
- University of Luxembourg
- University of Nottingham
- ; Swansea University
- Chalmers University of Technology
- Eindhoven University of Technology (TU/e); Eindhoven
- Ghent University
- Leibniz
- Leiden University; Leiden
- NTNU Norwegian University of Science and Technology
- Radboud University
- Technical University of Cluj-Napoca
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Cambridge
- University of Southern Queensland
- University of Twente
- Uppsala universitet
- Vrije Universiteit Brussel
- ;
- ; University of Cambridge
- ; University of Exeter
- Aalborg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Inria, the French national research institute for the digital sciences
- Lulea University of Technology
- Newcastle University
- Susquehanna International Group
- University of Antwerp
- University of Bristol
- University of Southern Denmark
- University of Texas at Austin
- University of Twente (UT)
- University of Twente (UT); Enschede
- Utrecht University
- ; Brunel University London
- ; Newcastle University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- Aarhus University
- Brno University of Technology
- CSIRO
- Carl von Ossietzky Universität Oldenburg
- Deutsches Elektronen-Synchrotron DESY •
- Erasmus University Rotterdam
- Fraunhofer-Gesellschaft
- Graz University of Technology
- Harper Adams University
- Hasselt University
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London
- Institut Pasteur
- Institute of Physical Chemistry, Polish Academy of Sciences
- Instituto Superior de Economia e Gestão
- Instituto de Telecomunicações
- International PhD Programme (IPP) Mainz
- KTH Royal Institute of Technology
- KU LEUVEN
- La Trobe University
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Linköpings universitet
- Maastricht University (UM)
- Masaryk University - Faculty of Science – RECETOX
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- McGill University
- National Renewable Energy Laboratory NREL
- Queensland University of Technology
- Radboud University Medical Center (Radboudumc); Nijmegen
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- TU Dresden
- Technical University of Denmark;
- Tel Aviv University
- The University of British Columbia (UBC)
- The University of Manchester
- UCL
- 89 more »
- « less
-
Field
-
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
-
mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
-
of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
-
scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
-
to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
-
input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
-
prominent approach to AI, with impressive performance in many application domains, including materials discovery. This development has a huge potential for societal impact, with applications in renewable
-
consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
-
control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with