19 Computer Science positions at Technical University of Munich in postdoctoral in Germany
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qualifications: • A solid background in bioinformatics, mathematics, computer science, computational biology or similar fields. • A good understanding of basic immunology as well as T cell and TCR biology will be
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software development and supervise team members. YOUR EXPERIENCE AND AMBITIONS We welcome candidates with a PhD in computational physics, chemistry or materials science who are curious about applied machine
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engineering, computer engineering or a related field. Knowledge in the area of mobile manipulation and control of autonomous vehicles. Hands-on experience with developing autonomous and mobile robotic systems
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Computer Science and Pathology is shared between the TUM School of Computation, Information and Technology (CIT) and the TUM School of Medicine and Health. The candidate will be part of both labs and will spend 6
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biosensing by means our unique label-free molecular detection technology. Are you passionate about science? Full of ideas and innovative potential to drive change? Do you see yourself working in
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, (electro)chemical engineering, mechanical engineering, materials science & engineering, or a related field. They should be familiar with the working principles of photoelectrochemical energy conversion
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engineering, computer engineering or a related field. Knowledge in the area of mobile manipulation and control of autonomous vehicles. Hands-on experience with developing autonomous and mobile robotic systems
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qualifications: • Doctoral degree (psychology, neuroscience, computational science, or similar) • Experience with experience sampling methods (ESM)/ecological momentary assessment (EMA) • Experience in smartphone
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28.03.2024, Wissenschaftliches Personal The Assistant Professorship of Sustainable Future Mobility is a part of the Department of Aerospace and Geodesy within the TUM School of Engineering and
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org