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-tuning, evaluation of models) Solid knowledge of Python is mandatory and will be tested in the interview Advantageous: ability to independently implement methods and procedures from scientific publications
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recognized quality standards. You have at least 3 years of relevant professional experience. You have good knowledge of shell and scripting languages (Python, bash, etc.). Your knowledge of the Linux
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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programming skills, preferably in Python good language skills in German or English enjoy experimental and scientific work team player, open-minded and motivated to work independently and purposefully What you
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High Performance Computing on CPUs and GPUs experience with simulations on supercomputers producing large volumes of data proficiency in Fortran, Python, shell scripting, and processing simulation data
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experience (Python, plant control) and knowledge of vacuum technology are a plus, but not required What we offer 👥 Team spirit: Creative and interdisciplinary working environment, highly motivated team
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the solution by integrating state-of-the-art MARL methods, with a strong emphasis on scalability and reliability. What you contribute Experience with Python ML stack, e.g. TensorFlow, Stable-Baselines3 Strong
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for AML Pattern Detection Explainable AI for Investigator Support What you contribute Strong programming skills (Python) Solid foundations in machine learning Interest in NLP and LLMs, and/or graph-based
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in transcriptomics, epigenomics, and/or genomics Strong analytical skills, as well as broad experience with scripting languages (e.g., Python, R, Bash); knowledge of common bioinformatics software and
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via Ethernet as well as data processing and data synchronization within linked systems. Know-how in EMC-compliant assembly of electrical systems would be a plus. Programming skills with Python and C/C