Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- DAAD
- Cranfield University
- Technical University of Munich
- Forschungszentrum Jülich
- Susquehanna International Group
- University of Luxembourg
- ;
- Curtin University
- Linköping University
- University of Southern Denmark
- ; City St George’s, University of London
- Leibniz
- University of Groningen
- University of Nottingham
- VIB
- CWI
- Chalmers University of Technology
- Humboldt-Stiftung Foundation
- ; Swansea University
- ; The University of Manchester
- AALTO UNIVERSITY
- Ghent University
- La Trobe University
- Leiden University
- University of Adelaide
- University of Antwerp
- University of Basel
- University of Southern Queensland
- Vrije Universiteit Brussel
- ; University of Exeter
- ; University of Surrey
- Aalborg University
- Aarhus University
- Abertay University
- CNRS
- Carnegie Mellon University
- Cornell University
- Delft University of Technology (TU Delft)
- Duke University
- GFZ Helmholtz Centre for Geosciences
- KINGS COLLEGE LONDON
- Lulea University of Technology
- Murdoch University
- NTNU - Norwegian University of Science and Technology
- SciLifeLab
- The University of Manchester;
- UNIVERSITY OF HELSINKI
- Universite de Moncton
- University of Bergen
- University of Twente
- Université Laval
- Uppsala universitet
- Utrecht University
- Wageningen University and Research Center
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; Newcastle University
- ; University of Birmingham
- ; University of Bristol
- ; University of Greenwich
- ; University of Nottingham
- ; University of Oxford
- ; University of Reading
- ; University of Southampton
- Arts et Métiers Institute of Technology (ENSAM)
- Brookhaven Lab
- Delft University of Technology (TU Delft); Delft
- Drexel University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus MC (University Medical Center Rotterdam)
- European Magnetism Association EMA
- GFZ Helmholtz-Zentrum für Geoforschung
- Graz University of Technology
- Hannover Medical School •
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum München
- Heraeus Covantics
- ICN2
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute of Physical Chemistry, Polish Academy of Sciences
- KU LEUVEN
- King's College London;
- Leiden University; Leiden
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- 89 more »
- « less
-
Field
-
deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature
-
for anomaly Detection and diagnostics: Leveraging state-of-the-art machine learning and deep learning models for automated fault detection, classification, and time-till-failure prediction. This will involve
-
) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including the application of machine learning (ML) methods or large
-
) Project Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
-
within the broad topics of modelling tool-workpiece interaction in mechanical material removal processes, zero-defect manufacturing, machining system performance characterization as well as on-machine and
-
written and spoken English skills High degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very
-
, machine learning, and programming (preferably Python) is highly valued. Effective communication with clinicians and interdisciplinary researchers is crucial, and excellent proficiency in English is required
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
publications. Desired: Experience in nanopore and/or other single-molecule experiments and their interpretation Coding skills for advanced data analysis, machine learning, kinetic modeling, etc. Nanofabrication