Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Leibniz
- Nature Careers
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Heidelberg University
- Humboldt-Stiftung Foundation
- University of Tübingen
- Max Planck Institute for Biology of Ageing, Cologne
- ;
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- University of Paderborn
- CISPA (at University of Stuttgart)
- Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Social Anthropology, Halle (Saale)
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Geoanthropology, Jena
- Technische Universität München
- Universität Düsseldorf
- 17 more »
- « less
-
Field
-
of the methods, results and findings is also required. What you bring to the table Matriculated Master's student majoring in electrical engineering, data science, computer science, physics or a related field
-
Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
-
degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
-
of Pathology (https://www.pm.mh.tum.de/path ), and is affiliated with the TUM School of Computation, Information and Technology (CIT, https://www.cit.tum.de/ ), the TUM School of Medicine and Health (MH, https
-
opportunities Requirements: Ph.D. in Biology, Physics, Computer Science, or a related field with prior expertise in: Genomics, population genetics, and evolutionary biology Sequence alignment and next-generation
-
interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
-
a basis for working with innovative battery technology What you bring to the table Master’s degree in electrochemistry or a comparable degree program Strong background knowledge in applied
-
) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
-
field Strong publication record and experience in basic science or translational research Background in molecular oncology, tumor biology, liver-focused or immune-focused research, or computational
-
international research group. We value quality over quantity, both in terms of group size and when choosing publication venues.The lab is embedded into an excellent environment for research in computer science