Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Technical University of Munich
- Heidelberg University
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- ; Max Planck Society
- DAAD
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute of Biophysics, Frankfurt am Main
- University of Duisburg-Essen
- University of Tübingen
- 5 more »
- « less
-
Field
-
Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork skills
-
(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
-
Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
related field # Proficiency in programming languages (Python, C/C++, Julia) # Background in machine learning methods # Experience in developing, training, and tuning machine learning models # Prior exposure
-
of the above fields Solid methodological background in image processing and AI Strong publication record in relevant fields Hands-on programming experience in Python for data science, image processing, and using
-
interfaces (application programming interface, API) for system control are being developed in order to automate both process monitoring and process control. The API-based integration of the digital twin
-
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
-
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
-
/distributed programming and/or solid UNIX skills Practical experience with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects
-
mass transfer, and process engineering Extensive experience in modeling and simulation and ideally knowledge of CFD software (e.g., Ansys Fluent, OpenFOAM, COMSOL) Very good programming skills
-
, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken