Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- DAAD
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum für Infektionsforschung
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Society
- University of Bonn
- University of Greifswald
- WIAS Berlin
- 16 more »
- « less
-
Field
-
research team consisting of biologists, MDs, and bioinformaticians. Our group fosters independence, innovation and collaboration of the next generation of scientists. The position is available for an initial
-
tissue samples, multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research environment that fosters innovation and collaboration
-
schemes. The positions will be limited by default to two years, but we are seeking candidates who are motivated to contribute longer to the project. About your role: Laser development position Design
-
on the main topic of the project and for designing and conducting empirical studies, including survey experiments. Additional responsibilities include: authoring scientific publications in relevant peer
-
engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
-
)! Tübingen has a long history of academic excellence (founded in 1477; DNA was discovered here ; linked to 11 Nobel laureates) and is an innovation center in medicine and machine learning. About Eberhard
-
Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
-
also designed to allow networking between (marine) institutions. We therefore offer the possibility for candidates to foster external relationships, or in consultation, to bring in additional advisors
-
team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
-
functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven