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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 3 hours ago
R is highly recommended. Strong written and spoken English and the desire to work in a dynamic, international team (knowledge of German is not required for this position). Our offer
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communicate in a diverse scientific environment High proficiency in spoken and written English Interest in learning effective usage of emerging computational infrastructures and methods Our Offer: We work
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, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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; Experience with HPC, programming (e.g., Python, C/C++), and/or scientific computing is a plus Strong interest in quantum computing and molecular simulations Willingness to work in an interdisciplinary
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, physics, or similar, with a strong Machine Learning or simulation background In depth practical experience in at least one programming language (preferably Python) Ideally, some practical experience in
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communication systems - Secure AI and AI for security - Privacy-enabling technologies Teaching responsibilities include courses in the university’s bachelor and master programs. The professorship is associated
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programs at TUMCS (Professional Profile Bioeconomy) in German and English. Qualifications We are looking for candidates who have demonstrated excellent achievements in research and teaching in
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Universities of Excellence and provides outstanding working, research, and networking possibilities. The position will be in the group of Prof. Thomas Heine at the Chair of Theoretical Chemistry where 40
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in