Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- NTNU Norwegian University of Science and Technology
- Forschungszentrum Jülich
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Tallinn University of Technology
- DAAD
- KU LEUVEN
- Aalborg University
- Delft University of Technology (TU Delft)
- University of Twente (UT)
- Leibniz
- University of Basel
- University of Nottingham
- CNRS
- Faculty of Science, Charles University
- Technical University of Denmark
- Umeå University
- University of Amsterdam (UvA)
- University of Birmingham
- University of Southern Denmark
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- Aalborg Universitet
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- CSIC
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- University of Bergen
- University of Cambridge
- University of Göttingen •
- University of Sheffield
- VIB
- Vrije Universiteit Brussel (VUB)
- Brandenburg University of Technology Cottbus-Senftenberg •
- Ecole Centrale de Lyon
- Empa
- Inria, the French national research institute for the digital sciences
- La Trobe University
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Leiden University
- Swansea University
- Technical University Of Denmark
- Technische Universität Berlin •
- UNIVERSITY OF VIENNA
- University Medical Center Utrecht (UMC Utrecht)
- University of Bologna
- University of Innsbruck
- University of Münster •
- University of Vienna
- Universität für angewandte Kunst Wien
- Utrecht University
- Western Norway University of Applied Sciences
- AMBER laboratory
- Abertay University
- Academic Europe
- Amsterdam UMC
- Ariel University
- Atlantic Technological University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Centrale Supelec
- Chalmers University of Technology
- Consiglio Nazionale delle Ricerche
- DIFFER
- Deutsches Elektronen-Synchrotron DESY •
- European Synchrotron Radiation Facility
- Fundació per a la Universitat Oberta de Catalunya
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Helmholtz-Zentrum Umweltforschung
- Hertie School •
- IFP Energies nouvelles (IFPEN)
- IRTA
- Imperial College London
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- Instituto Superior de Agronomia
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- LInköpings universitet
- Linköpings universitet
- Lule university of technology
- Lulea University of Technology
- Luleå university of technology
- Luxembourg Institute of Science and 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
-
systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI outputs in a known structure. This
-
scientific coding skills in Python. You are strongly motivated to acquire advanced skills in Python and Fortran and in the use of high-performance computer systems you have affinity and preferably experience
-
The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
-
using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
-
, neuroimaging and clinical psychiatry, with direct clinical impact. Your main activities are: analyzing and integrating multimodal MRI data for biotype identification; applying machine learning and advanced
-
contribute significantly to these growing fields. This PhD position is ideal for candidates interested in the following areas of machine learning: Geometric learning: exploiting the structure of data (e.g
-
group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? Maybe you want to join our team as a PhD on our journey
-
behavior. (2) Evaluate their effects on performance, safety, and security metrics. (3) Propose and validate mitigation and hardening techniques at the model, system, and learning levels. The targeted
-
physical). Solid background in programming and experience with machine learning. Knowledge of participatory design and co-creation methodologies. Ability to learn independently and passion for research
-
the project, supported by Dr. Adamo and close collaboration partners, within an environment that encourages academic freedom and scientific independence. In line with our and Uni Basel values (https