Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Leiden University
- Nature Careers
- Technical University of Munich
- CNRS
- DAAD
- Forschungszentrum Jülich
- Technical University of Denmark
- Delft University of Technology (TU Delft)
- Susquehanna International Group
- Curtin University
- Delft University of Technology (TU Delft); Delft
- Radboud University
- Delft University of Technology (TU Delft); yesterday published
- Fraunhofer-Gesellschaft
- Linköping University
- Lulea University of Technology
- University of Amsterdam (UvA)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Leibniz
- Loughborough University
- UNIVERSITY OF HELSINKI
- University of Amsterdam (UvA); Amsterdam
- University of Southern Denmark
- University of Twente (UT)
- University of Utah
- Uppsala universitet
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- Empa
- Inria, the French national research institute for the digital sciences
- Leiden University; Leiden
- Leiden University; today published
- Monash University
- Mälardalen University
- NTNU - Norwegian University of Science and Technology
- National Research Council Canada
- Radix Trading LLC
- SciLifeLab
- Tallinn University of Technology
- Temple University
- UNIVERSIDAD POLITECNICA DE MADRID
- University of British Columbia
- University of East Anglia
- University of Florida
- University of Groningen
- University of Nottingham
- University of Sheffield
- University of Twente (UT); Enschede
- VIB
- Vrije Universiteit Brussel
- ;
- ; Coventry University Group
- ; The University of Manchester
- ; University of Exeter
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- Aalborg University
- Abertay University
- Agricultural university - Plovdiv, Bulgaria
- Amsterdam UMC
- Amsterdam UMC; today published
- Brookhaven National Laboratory
- CISPA Helmholtz Center for Information Security
- CWI
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Centre for Genomic Regulation
- Copenhagen Business School
- Copenhagen Business School , CBS
- Coventry University Group;
- Delft University of Technology (TU Delft); today published
- Dublin City University
- Duke University
- ETH Zürich
- Ecole polytechnique
- Edmund Mach Foundation
- FCT NOVA - UNIDEMI
- Helmholtz-Zentrum München
- Institute for bioengineering of Catalonia, IBEC
- Instituto Superior de Economia e Gestão
- Instituto de Telecomunicações
- Jagiellonian University
- KU LEUVEN
- La Trobe University
- Linköpings universitet
- Manchester Metropolitan University;
- Medizinische Universitaet Wien
- Murdoch University
- Mälardalens universitet
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Norwegian Institute of Bioeconomy Research
- Norwegian Meteorological Institute
- Oxford Brookes University
- Queensland University of Technology
- RAEGE-Az
- Reykjavik University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SINTEF
- School of Business, Society and Engineering
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- 90 more »
- « less
-
Field
-
for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
-
deep learning into practical tools for sustainable urban energy systems, supporting applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be
-
At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
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
-
of the bioprinting process. Objective 2: Training of a deep learning model to predict inputs that will achieve bioprinted scaffolds with the required print fidelity and scaffold micro-architecture. Objective 3
-
into the generation process. This multidisciplinary project will deliver deployable models, reproducible methods, and, where allowed, shareable datasets. The student will gain training in deep learning, AI, image
-
processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
-
the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity