Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- Nature Careers
- Aalborg University
- Eindhoven University of Technology (TU/e)
- ETH Zürich
- KU LEUVEN
- Technical University of Munich
- Uppsala universitet
- CNRS
- Delft University of Technology (TU Delft)
- Inria, the French national research institute for the digital sciences
- University of Basel
- Aalborg Universitet
- Umeå University
- University of Nottingham
- Faculty of Science, Charles University
- Leibniz
- Tallinn University of Technology
- University of Antwerp
- University of Birmingham
- University of Oslo
- Vrije Universiteit Brussel (VUB)
- DAAD
- Hannover Medical School •
- Helmholtz-Zentrum Hereon
- Ludwig-Maximilians-Universität München •
- University of Amsterdam (UvA)
- University of Göttingen •
- University of Sheffield
- VIB
- Ariel University
- Brandenburg University of Technology Cottbus-Senftenberg •
- CSIC
- Ecole Centrale de Lyon
- Hasselt University
- Helmholtz Zentrum Hereon
- 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
- SciLifeLab
- Stockholms universitet
- Technical University Of Denmark
- Technical University of Denmark
- Technische Universität Berlin •
- UCL
- University of Bologna
- University of Cambridge
- University of Münster •
- University of Southern Denmark
- Universität für angewandte Kunst Wien
- Utrecht University
- Wageningen University & Research
- Western Norway University of Applied Sciences
- Abertay University
- Academic Europe
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centrale Supelec
- Chalmers University of Technology
- Charles University
- Consiglio Nazionale delle Ricerche
- Czech Technical University in Prague
- 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
- GFZ Helmholtz-Zentrum für Geoforschung
- Graz University of Technology
- Helmholtz-Zentrum Umweltforschung
- Hertie School •
- IFP Energies nouvelles (IFPEN)
- IMDEA Networks Institute
- INRIA
- IRTA
- Imperial College London
- Inserm UMR-S 1250
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- Institutionen för molekylära vetenskaper
- Instituto Superior de Agronomia
- Instituto de Tecnología Química
- KTH Royal Institute of Technology
- King's College London
- LEM3
- Linköpings universitet
- Lule university of technology
- Luleå university of technology
- Maastricht University (UM)
- 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 •
- Monash University
- 90 more »
- « less
-
Field
-
machine learning approaches Collaborating with experimental and clinical research partners Support and preparation of scientific reports and journal articles
-
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
-
is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
-
remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
-
systems, statistical physics and machine learning, and using these insights to develop new methods, with the support of competent and friendly colleagues in an international environment? Are you looking
-
the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
-
systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
-
& 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
-
. 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
-
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