Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- University of Tübingen
- Charité – Universitätsmedizin Berlin
- Deutsches Elektronen-Synchrotron DESY
- Forschungszentrum Jülich
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- DAAD
- Fraunhofer-Gesellschaft
- Heidelberg University
- Leibniz University Hannover
- Max Planck Institute for Biological Cybernetics, Tübingen
- Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Social Law and Social Policy, München
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- 9 more »
- « less
-
Field
-
-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
-
of an independent academic profile and preparation for an international academic career (e.g. tenure-track or habilitation). Opportunities for first-author publications, grant co-development, and international
-
Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 4 days ago
., Computer Science, Social Sciences, Economics, Law) at the time when the position starts. A strong track record of research excellence and impactful publications. How to Apply Applications have to be in
-
comparative research designs Strong track record in qualitative and quantitative methods Publication(s) in high-ranking peer-reviewed journals and/or strong evidence of publication potential Willingness
-
, cutting edge research towards scalable quantum computing A research track record commensurate with our ambition Our Offer: We work on the very latest issues that impact our society and are offering you the
-
of cancer immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop efficient immune therapeutic strategies in these areas. Close networking between University and
-
Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
-
international scientific working experience in vascular biology or a closely related research field Strong track record and demonstration of scientific productivity by one or more first-author publications
-
“Compartmentalized Cellular Networks in Neurovascular Diseases.” We welcome applications from candidates with expertise in either of two complementary profile tracks: Profile Track 1 – Computational Epigenomics
-
, or related field Proven experience in omics data analysis Knowledge of Bioconductor/R for biological data analysis Experience in object-oriented software development and building of modern web-based