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scenarios. Develop and maintain production-quality software (primarily Python) to enable AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 21 days ago
well as the ability to work in a team # Programming skills in Fortran, Python, and/or C # Experience with common scientific software e.g. CP2K # Experience working with HPC systems # Excellent fluency in English Our
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based on our own machine learning models and it supports research in our field. The system consists of a multi-node environment, with an Elasticsearch database, data pipelines in Go and Python Data is
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for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project
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, and cybersecurity. Programming skills (C, C++, Python, or Matlab). Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in spoken and
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 month ago
) or of bioinformatics (programming skills, R or Python, statistics, analysis of complex datasets) Ability to work independently and to take initiative, as well as teamwork skills German language skills at B1 level are
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production of intellectual property What you contribute Outstanding scientific master degree in electrical engineering, physics or similar Programming skills (e.g., C/C++, Python, Matlab, …) for device control
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Python, and Keysight ADS (preferably) Starting date: a.s.a.p. Our offer An open and appreciative international team, always available with help and advice A modern workplace in Berlin Adlershof with good
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background, with very good practical programming skills in Python; experience with other languages is a plus. Hands-on experience with metadata schemas and formats, semantic technologies, and knowledge graphs
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools