Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Curtin University
- SciLifeLab
- Technical University of Denmark
- ;
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- ; University of Leeds
- Nature Careers
- DAAD
- Humboldt-Stiftung Foundation
- Swinburne University of Technology
- ; University of Warwick
- CWI
- Carnegie Mellon University
- Chalmers University of Technology
- Cornell University
- Cranfield University
- Leibniz
- Monash University
- Mälardalen University
- RMIT University
- ; Anglia Ruskin University
- ; Manchester Metropolitan University
- ; Swansea University
- ; University of Birmingham
- ; University of Exeter
- ; University of Hull
- ; University of Plymouth
- Ariel University
- Brookhaven Lab
- Canadian Association for Neuroscience
- Claremont Graduate University
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zurich
- FEUP
- Fraunhofer-Gesellschaft
- Ghent University
- Hannover Medical School •
- ICN2
- Karlsruhe Institute of Technology •
- Leiden University
- Ludwig-Maximilians-Universität München •
- Luleå University of Technology
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials •
- MedUni Vienna
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- Pennsylvania State University
- Queensland University of Technology
- Radboud University
- Technische Universität Berlin •
- The Ohio State University
- Umeå University
- University of Lethbridge
- University of Oslo
- University of Southern Denmark
- University of Twente
- University of Utah
- Universität Hamburg •
- Utrecht University
- VIB
- 54 more »
- « less
-
Field
-
projects Designing for complex or high-consequence systems Human-centred product, service, or interaction design in healthcare, defence, or critical infrastructure Applied human-computer interaction or
-
their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 hours ago
, Applied Mathematics, Physics, Biophysics or a similar qualification Interest in and/or experience with AI/machine learning A willingness to learn and extend this knowledge and master new challenges in
-
We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
-
. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML) methods to tackle
-
in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages, PyTorch Familiar with foundation models (vision large models or multi
-
involve leveraging advanced natural language processing and medical image analysis to transform imaging data into clinically relevant information. Additionally, it will explore the use of multimodal fusion
-
formats available in conventional hardware are often too accurate for the needs of machine learning: they do not improve the quality of the trained model but may deteriorate it by causing overfitting
-
(or equivalent) in 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
-
Generative machine learning models have made significant progress in recent years. Typical examples include, for example, high-quality image or video generation using diffusion models (e.g