371 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD scholarships
Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Forschungszentrum Jülich
- Technical University of Munich
- Aalborg University
- Eindhoven University of Technology (TU/e)
- Tallinn University of Technology
- ETH Zürich
- KU LEUVEN
- DAAD
- Delft University of Technology (TU Delft)
- CNRS
- University of Amsterdam (UvA)
- University of Basel
- University of Nottingham
- Aalborg Universitet
- Faculty of Science, Charles University
- Inria, the French national research institute for the digital sciences
- Leibniz
- Umeå University
- University of Antwerp
- University of Birmingham
- University of Oslo
- Uppsala universitet
- Vrije Universiteit Brussel (VUB)
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- Technical University of Denmark
- University of Göttingen •
- University of Sheffield
- University of Vienna
- VIB
- Vrije Universiteit Amsterdam (VU)
- Ariel University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Brandenburg University of Technology Cottbus-Senftenberg •
- CSIC
- Ecole Centrale de Lyon
- Empa
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- La Trobe University
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Leiden University
- Stockholms universitet
- Technical University Of Denmark
- Technische Universität Berlin •
- UCL
- UNIVERSITY OF VIENNA
- University of Bologna
- University of Cambridge
- University of Innsbruck
- University of Münster •
- University of Southern Denmark
- University of Twente (UT)
- Universität für angewandte Kunst Wien
- Western Norway University of Applied Sciences
- AMBER laboratory
- Abertay University
- Academic Europe
- Atlantic Technological University
- Centrale Supelec
- Chalmers University of Technology
- Charles University
- Consiglio Nazionale delle Ricerche
- DIFFER
- Deutsches Elektronen-Synchrotron DESY •
- Electronics and Informatics Department
- European Magnetism Association EMA
- European Synchrotron Radiation Facility
- Fundació per a la Universitat Oberta de Catalunya
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Helmholtz-Zentrum Umweltforschung
- Hertie School •
- IFP Energies nouvelles (IFPEN)
- IMDEA Networks Institute
- IRTA
- Imperial College London
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- Instituto Superior de Agronomia
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- King's College London
- LEM3
- LInköpings universitet
- Linköpings universitet
- Lule university of technology
- Lulea University of Technology
- Luleå university of technology
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- Nantes Université
- 90 more »
- « less
-
Field
-
& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
-
stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx
-
. Approaches researched: molecular dynamics, quantum simulations, machine learning/AI, and high-throughput computing. Required: Mgr./MSc. in chemistry, physics, computer science, or a related field If you are
-
, and machine learning methods. Using regression analysis and vector autoregression (VAR) models, the study examines the relationship between macroeconomic variables and the performance of various
-
differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
-
plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
-
analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
-
plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
-
interdisciplinary team with clinicians and engineers; You have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and
-
the Job related to staff position within a Research Infrastructure? No Offer Description Two PhD positions in machine learning in our group. One funded by WASP---Wallenberg AI, Autonomous Systems and