Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- Aalborg University
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Carnegie Mellon University
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Faculty of Science, Charles University
- Leibniz
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- The University of Manchester
- University of Antwerp
- University of Southern Denmark
- Vrije Universiteit Brussel (VUB)
- CNRS
- Copenhagen Business School
- DAAD
- Delft University of Technology (TU Delft)
- NIOZ Royal Netherlands Institute for Sea Research
- University of Amsterdam (UvA)
- University of Luxembourg
- Utrecht University
- VIB
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- ETH Zürich
- Empa
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Inria, the French national research institute for the digital sciences
- Leiden University
- Loughborough University;
- Maastricht University (UM)
- SciLifeLab
- University of Basel
- University of Birmingham
- University of Cambridge
- University of Exeter
- University of Nottingham
- University of Surrey
- ;
- AALTO UNIVERSITY
- Atlantic Technological University
- Bydgoszcz University of Science and Technology
- Catholic University Eichstaett-Ingolstadt
- Centrale Supelec
- Chalmers University of Technology
- Constructor University Bremen gGmbH
- Duke University
- Electronics and Informatics Department
- Erasmus University Rotterdam
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fraunhofer-Gesellschaft
- Harper Adams University
- IMDEA Networks Institute
- IMEC
- INRIA
- Imperial College London;
- KNAW
- KU LEUVEN
- King's College London;
- LEM3
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Linköpings universitet
- Manchester Metropolitan University;
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for the History of Science •
- Monash University
- Newcastle University
- Oxford Brookes University
- Poznan University of Technology
- Queensland University of Technology
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Science me Up
- Swedish University of Agricultural Sciences
- Tallinn University of Technology
- Tampere University
- Technical University Of Denmark
- UiT The Arctic University of Norway
- Umeå University
- University Medical Centre Groningen (UMCG)
- University of California Berkeley
- University of Cambridge;
- University of Leeds
- University of Lund
- University of Melbourne
- University of Plymouth
- University of South Bohemia
- University of Texas at El Paso
- University of Twente
- University of Warwick;
- University of Westminster
- Université Gustave Eiffel
- Université Toulouse Capitole
- Uppsala universitet
- Vrije Universiteit Brussel
- cellumation GmbH
- cnrs
- 90 more »
- « less
-
Field
-
host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods, and single-molecule live-cell imaging
-
across both surface and subsurface layers. This includes constructing robust feature extraction pipelines, attention-based fusion architectures, and deep learning models that accurately characterize cracks
-
heating and cooling, storage, and local electricity grids. A key goal is to translate methodological innovations in deep learning into practical tools for sustainable urban energy systems, supporting
-
» Geological engineering Engineering » Mechanical engineering Technology » Energy technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 19 Apr 2026 - 23:59
-
prediction outputs. The first PhD will work on data fusion, feature extraction, and model development ranging from baseline approaches (e.g., gradient boosting) to deep learning architectures. The work also
-
and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
-
19th April 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Hard Rock Geothermal Drilling and AI-Driven Drilling Optimization - IV-21/26
-
collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
-
costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
-
an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT