Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- Cranfield University
- Linköping University
- Technical University of Munich
- Delft University of Technology (TU Delft)
- University of Nottingham
- Eindhoven University of Technology (TU/e)
- KU LEUVEN
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Newcastle University
- CNRS
- Inria, the French national research institute for the digital sciences
- Tallinn University of Technology
- Technical University of Denmark
- Umeå University
- University of Exeter
- University of Oslo
- Aalborg Universitet
- Empa
- Leibniz
- Monash University
- Queensland University of Technology
- The University of Manchester
- University of Southern Denmark
- University of Twente
- Uppsala universitet
- Utrecht University
- Vrije Universiteit Brussel
- Wageningen University & Research
- Iquadrat Informatica SL
- Leiden University
- SciLifeLab
- University College London
- University of Agder
- University of Amsterdam (UvA)
- University of Antwerp
- University of Warwick
- Build to Zero S.L.
- Centrale Supelec
- Chalmers University of Technology
- Copenhagen Business School
- Cranfield University;
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zürich
- Ecole Centrale de Lyon
- Edge Hill University
- Eindhoven University of Technology
- Erasmus University Rotterdam
- Faculty of Science, Charles University
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Hereon
- IMDEA Networks Institute
- INRIA
- IS-Wireless (ISRD Sp. Z O.O)
- Imperial College London
- Industrial Systems Institute (ISI)
- Inserm UMR-S 1250
- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- Institute of Physics Slovak Academy of Sciences
- Instituto Superior de Agronomia
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Karolinska Institutet, doctoral positions
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Linköpings universitet
- Loughborough University;
- Maastricht University (UM)
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Murdoch University
- NOVA Information Management School (NOVA IMS)
- NVIDIA Denmark
- Nantes Université
- Newcastle University;
- Oxford Brookes University
- PHAETHON Centre of Excellence
- Queen Mary University of London;
- Slovak University of Agriculture in Nitra
- Sorbonne Université, CNRS, Inserm
- Swansea University
- TU Dortmund
- Technical University Of Denmark
- The University of Manchester;
- Tilburg University
- UCL
- UNIVERSITY OF VIENNA
- UiT The Arctic University of Norway
- Universitat Internacional de Catalunya
- Universitat Politècnica de València
- University College Cork
- University College Dublin
- University of Basel
- University of Bergen
- 90 more »
- « less
-
Field
-
motivated and enthusiastic and keen to push the boundaries of what is currently possible when imaging with an optical microscope. Combing the latest in optical developments with the recent surge in AI
-
complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
-
, interviews and/or focus groups; Solid knowledge in the field of health; Experience in the development of interactive digital tools or educational platforms (valued but not mandatory); Fluency in English
-
devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems
-
28 Feb 2026 Job Information Organisation/Company Tilburg University Research Field Mathematics » Algorithms Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1
-
period of 12 months, possibly renewable up to a maximum of 36 months, scheduled to start on March 2026. 2. WORK PLAN AND WORKPLACE: The project will investigate the developed algorithms and methods
-
of the IMPRS reflects the development of molecular genetics into an information science, based on the plethora of experimental data that are nowadays available and steadily being produced about cellular
-
, such as imbalance and misalignment, facilitating the development and validation of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict
-
a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical
-
a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical