21 parallel-programming positions at Technical University of Munich in computer-science
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. Familiarity with parallel programming is highly desirable. Proficient knowledge of English is highly desirable. A background in power systems is desirable, though not required. Your application: To inquire
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, computer science, mathematics, statistics, economics, or related disciplines, an interest for the application of operations research in energy systems and strong programming skills. Familiarity with parallel
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, biomolecules, vesicles, and nanoparticles – to engineer colloidal systems and interfaces with targeted functionality and selective molecular recognition. In parallel, we develop advanced characterization
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visionary doctoral program with high socio-economic relevance on the topic of “The Proteomes that Feed the World” with the aims to train and develop future leaders in science who excel in research, management
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training and qualification programs Benefit from continuous academic and professional development opportunities Your research may focus on topics such as: The impact of artificial intelligence on corporate
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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