34 engineering "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Fellowship positions in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Humboldt-Universität zu Berlin
- DAAD
- Technical University of Munich
- Max Planck Institute for Human Development, Berlin
- University of Tübingen
- ;
- Alfried Krupp Wissenschaftskolleg Greifswald
- Deutsches Krebsforschungszentrum
- Eisbach Bio GmbH
- Max Planck Institutes
- Max-Planck-Institut für Bildungsforschung
- Philipps-Universität Marburg
- RPTU University Kaiserslautern-Landau
- Stanford University;
- University of Rostock
- Universität Tübingen;
- 6 more »
- « less
-
Field
-
, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective
-
are crucial for all cellular functions. More information can be found at the project website: www.hubmol.eu Subproject 7 with employment at Eisbach Bio Munich, Germany https://www.eisbach.bio/ EISBACH BIO GmbH
-
bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Information pursuant to Art. 12, 13 DSGVO
-
exchange and professional development in an interdisciplinary environment through annual symposia, workshops, and retreats, as well as monthly seminars. Further information is available at: https://www.uni
-
14.07.2025, Academic staff This opportunity is offered by the Chair for Philosophy and History of Science and Technology at the TUM School of Social Sciences and Technology (SOT). ABOUT US: The
-
available in the further tabs (e.g. “Application requirements”). Programme Description The Indo-German Science & Technology Centre (IGSTC), established as a joint initiative of the Department of Science and
-
medicine or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, or public health. It funds students from Germany who wish to carry out research stays, internships or part of a
-
research, the programme encourages technology transfer, real-world applications, and engagement with innovation and startup ecosystems. By connecting global talent with leading research, industry, and
-
within a multidisciplinary team and mentor junior trainees. Requirements PhD (or equivalent) in psychology, neuroscience, physiology, biomedical engineering, epidemiology, statistics, or a related field
-
training, coaching, and mentoring at the Integration into the LEAD Graduate School & Research Network . Involvement in a dynamic and motivated research team passionate about education, AI, and technology