Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Munich
- University of Tübingen
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- University of Potsdam, Faculty of Science
- Constructor University Bremen gGmbH
- GESIS - Leibniz Institut für Sozialwissenschaften
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Leibniz Universität Hannover
- Max Planck Institute for Innovation and Competition, Munich
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- NEC Laboratories Europe GmbH
- Saarland University
- Technische Universität München
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- 11 more »
- « less
-
Field
-
Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems
-
applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
-
Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | 3 days ago
and machine learning methods applied to biological data Experience working with multiomics data integration is a plus Excellent organizatorial skills, strong commitment, motivation and ability to work
-
the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
analysis. Experience with multi-omics data integration, machine learning approaches for biological data, statistical modelling and high-dimensional biological datasets. Experience with computational pipeline
-
) Experience with data analysis / machine learning is a plus The ability to work independently and as part of a research team Proficiency in English, both written and spoken We offer... A fully funded position
-
The opportunity to make significant research contributions to current topics in Scientific Machine Learning A highly motivated, international team and excellent hardware and computing infrastructure Collaboration
-
of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
-
following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs