Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Munich
- Curtin University
- DAAD
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- University of Luxembourg
- CNRS
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Norwegian University of Life Sciences (NMBU)
- Technical University of Denmark
- University of Southern Denmark
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- KINGS COLLEGE LONDON
- La Trobe University
- Loughborough University
- Lunds universitet
- NTNU - Norwegian University of Science and Technology
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Twente (UT)
- Université Laval
- Uppsala universitet
- ;
- Aalborg University
- Academic Europe
- Agricultural university - Plovdiv, Bulgaria
- Amsterdam UMC
- Ariel University
- Arts et Métiers Institute of Technology (ENSAM)
- Brookhaven Lab
- Brookhaven National Laboratory
- COFAC
- Centre for Genomic Regulation
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Deutsches Elektronen-Synchrotron DESY •
- Dublin City University
- Ecole Normale Supérieure
- Edmund Mach Foundation
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- FCT NOVA - UNIDEMI
- Fraunhofer-Gesellschaft
- Ghent University
- Hannover Medical School •
- Human Technopole
- IMEC
- IRTA
- Itä-Suomen yliopisto
- Jagiellonian University
- KU LEUVEN
- King's College London
- Leibniz
- Linköpings universitet
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM); Maastricht
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry, Martinsried
- McGill University
- Monash University
- Mälardalen University
- NTNU Norwegian University of Science and Technology
- New York University
- Oxford Brookes University
- Queensland University of Technology
- Radboud University
- School of Business, Society and Engineering
- TU Dresden
- Tallinn University of Technology
- Technische Universität Berlin •
- The University of Alabama
- UCL
- Umeå University
- Umeå universitet
- Universidade de Coimbra
- Universidade de Vigo
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of California, Los Angeles
- University of Cambridge
- University of Cambridge;
- University of East Anglia
- University of Essex
- University of Lund
- University of Minnesota
- University of Sheffield
- University of Twente (UT); Enschede
- University of Warwick
- Universität Hamburg •
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Vrije Universiteit Amsterdam (VU)
- Warsaw University of Technology
- École nationale des ponts et chaussées
- 90 more »
- « less
-
Field
-
related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
-
for Real-World Optimisation and AI Applications Brain-Computer Interfaces & their Applications Computational Neuroscience: Reinforcement Learning and Microzones in the Cerebellum Explainable Generative
-
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
-
expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
-
by combining state-of-the-art computer simulations, physical experiments, and clinical studies in radiology departments at the hospitals in the region. You will work in a multi-disciplinary team and
-
research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
-
This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
-
designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
-
of Europe’s biggest research centers and help us to shape change! Are you excited about working at the interface of natural and computer sciences? At the Institute of Bio- and Geosciences (IBG
-
Processing. Machine Learning and Deep Learning Expertise. Additive Manufacturing and Bioprinting Knowledge. Collaborative and Applied Research Experience. Great emphasis is put on personal qualities such as