7 parallel-programming PhD positions at Technical University of Munich in computer-science
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that generate new biological understanding and clinically relevant information. This position is embedded within major research and innovation programs funded by the European Union and the German government and
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major research and innovation programs funded by the European Union and the German government and offers exceptional opportunities for scientific visibility, professional growth, and future leadership
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to develop competitive materials for practical applications. After an initial training period, the successful candidate will: • Conduct and plan photocatalytic experiments for isotope effect measurements
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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programming skills in Python; initial experience with machine learning frameworks such as PyTorch or TensorFlow Initial practical experience from a master's thesis, study projects, internships, or open-source
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Strong Python programming skills and familiarity with machine-learning frameworks (e.g., PyTorch), data engineering, SQL and version control Interest in longitudinal clinical data, clinical terminologies