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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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The Leibniz Institute for the German Language (IDS) in Mannheim, founded in 1964, is the central scientific institution for documenting and researching the German language in the present and recent
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Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable
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-performance computing infrastructure. Opportunities to publish in high-impact journals and present at international conferences. Career development support and mentoring. Collectively agreed remuneration
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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
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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
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„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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). Your primary involvement will focus on Research Area 3. Required qualifications: Documented experience in developing and applying ocean models Experience using high-performance computing systems
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data