Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NTNU - Norwegian University of Science and Technology
- University of Nottingham
- Aalborg University
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Technical University of Denmark
- University of Oslo
- University of Warwick
- Linköping University
- Cranfield University
- Newcastle University
- SciLifeLab
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- The University of Manchester
- ETH Zürich
- Umeå University
- University of Luxembourg
- University of Southern Denmark
- Uppsala universitet
- CNRS
- Eindhoven University of Technology (TU/e)
- Leibniz
- Utrecht University
- HONG KONG BAPTIST UNIVERSITY
- Inria, the French national research institute for the digital sciences
- Carnegie Mellon University
- Faculty of Science, Charles University
- Fondazione Bruno Kessler
- KU LEUVEN
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- University of Antwerp
- University of Exeter
- University of Plymouth
- University of Surrey
- Vrije Universiteit Brussel (VUB)
- ;
- Empa
- Hong Kong Polytechnic University
- University of Basel
- University of Cambridge;
- University of South Carolina
- University of Twente
- VIB
- Vrije Universiteit Brussel
- Aalborg Universitet
- Ariel University
- CSIC
- Chalmers University of Technology
- Duke University
- Ecole Centrale de Lyon
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- George Mason University
- Hasselt University
- IMEC
- Manchester Metropolitan University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- PHAETHON Centre of Excellence
- Radboud University
- Swansea University
- Tampere University
- The University of Manchester;
- UCL
- University of Amsterdam (UvA)
- University of Bergen
- University of Birmingham
- University of Leeds
- University of Newcastle
- University of North Texas at Dallas
- University of Nottingham;
- University of Sheffield
- University of Surrey;
- Universität für angewandte Kunst Wien
- Wageningen University & Research
- 3rdplace
- Abertay University
- Academic Europe
- Aix-Marseille Université
- Auburn University
- Blekinge Institute of Technology
- Brunel University
- Centrale Supelec
- CentraleSupélec Rennes campus
- Constructor University Bremen gGmbH
- Copenhagen Business School
- DAAD
- Electronics and Informatics Department
- European Magnetism Association EMA
- European Synchrotron Radiation Facility
- Faculty of Sciences of the University of Porto
- Fritz Haber Institute of the Max Planck Society, Berlin
- Fundación de investigación HM Hospitales
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Harper Adams University
- Harvard University
- Heidelberg University
- 90 more »
- « less
-
Field
-
next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
-
) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
-
The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance or replace established methods
-
– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
-
chemistry modelling techniques scientific machine learning high-performance computing molecular design, generative AI, database handling and analysis collaborative, project management, presentation and
-
machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection
-
–liquid interfaces through an integrated approach combining atomistic (DFT, AIMD, MD), and continuum (FEM) Modelling, supported by machine learning frameworks. Key responsibilities: • Perform DFT/AIMD
-
intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
-
machine learning methods that translate experimental measurements of compound retention and metabolism in bacteria into scalable computational models for drug discovery. The Research Assistant/Associate
-
, aiming at improving the information extraction and the of icy planetary bodies subsurface by radar sounder data processing. The selected candidate will be expected to develop novel machine learning methods