Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Heidelberg University
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- DAAD
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Garching), Garching
- Technische Universität München
- University of Tübingen
- 3 more »
- « less
-
Field
-
-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python
-
Methodological competence: Strong programming skills, ideally including experience in deep learning and/or high-performance computing Passion for method development Very good English communication skills – both
-
care, in an exciting, interdisciplinary field. Access to large-scale, high-quality pathology datasets and cutting-edge computing infrastructure. Collaboration with renowned scientists, pathologists, and
-
ecosystem models. Experience using high-performance computing systems. Proficiency in running numerical ocean models. Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting
-
publications in international journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting
-
journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting research project at a
-
differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data
-
independent policy advice on all aspects relating to the structure and functioning of the financial system. It aims to contribute to strengthening a sustainable and resilient financial system that drives
-
that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
-
Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience with high-performance computing (HPC