Sort by
Refine Your Search
-
Category
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Meteorology •
- RPTU University Kaiserslautern-Landau •
- Technische Universität Berlin •
- University of Bremen
- University of Göttingen •
- University of Tübingen
- Deutsches Elektronen-Synchrotron DESY •
- Forschungszentrum Jülich
- German Cancer Research Center (DKFZ) Heidelberg •
- Hannover Medical School •
- Heidelberg University •
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH
- Helmholtz-Zentrum Geesthacht
- Justus Liebig University Giessen •
- Karlsruhe Institute of Technology •
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Leipzig University •
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for the Study of Societies •
- Max Planck Institute of Biochemistry •
- Saarland University •
- Technical University of Darmstadt •
- Technische Universität München
- University of Bamberg •
- University of Bremen •
- University of Hamburg •
- University of Münster •
- University of Potsdam •
- University of Tübingen •
- 22 more »
- « less
-
Field
-
Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (AI) offers a great
-
on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
-
architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
-
(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
-
Engineering Computer Engineering Physics Mechatronics Information Engineering or a related field. Ideally, you have experience in several of the following areas: Electronic circuit or measurement system
-
be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
-
Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
-
computer simulations Working in close collaboration with theoretical physicists to test models and develop new insights Your Profile Bachelor's degree in physics Master’s degree/diploma in condensed matter
-
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
-
data • Design clinically meaningful benchmarks and robust evaluations • Publish at leading machine learning and medical AI venues • Collaborate with clinicians, computer scientists, and European partners