Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Heidelberg University
- Leibniz
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- University of Bremen
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Karlsruher Institut für Technologie (KIT)
- Leibniz Institute for Plasma Science and Technology
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Academic Europe
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Institute for X-Ray Physics, University of Göttingen
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute of Colloids and Interfaces
- University of Oldenburg
- Universität Bremen
- Universität Hamburg
- 11 more »
- « less
-
Field
-
sequencing output. This project brings together chemical biology, molecular biology, and computational science to achieve direct, single-molecule resolution of RNA cap structures. Job-ID: V000015123 Field
-
(FIJI/ImageJ etc.) Ability to work independently and to supervise interns and undergraduates Excellent English (in speaking and writing) and computer skills, knowledge of German is a bonus, but not
-
Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
-
Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 2 months ago
-messenger astrophysics. Our offer The researchers in the "Computational Relativistic Astrophysics" division can use high-performance computers at Max Planck Computing and Data Facility (MPCDF). The salary
-
Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 2 months ago
-messenger astrophysics. Our offer The researchers in the "Computational Relativistic Astrophysics" division can use high-performance computers at Max Planck Computing and Data Facility (MPCDF: https
-
genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
-
data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial
-
—such as engine load, fuel flow, and environmental conditions—to optimize combustion and propulsion strategies. This dynamic adjustment ensures that hydrogen, with its unique properties like high flame speed
-
energy into acoustic waves, which can then be used to generate electricity or manage heat at the microscale. The goal is to improve the performance, efficiency and scalability of these microscale systems
-
-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and international research environment State-of-the-art equipment Collaboration within the SEISCLIM project and