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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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/81346.pdf Job Specifications Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). Fluency in spoken and written English is
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background in physical/computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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students and thus support of our educational mission. Requirements: Above average Master’s degree in engineering, applied mathematics or computational science Good knowledge of mathematical/numerical
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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and energy demand of AI based solutions excite you? Do you want to set the tone for future mobility...
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23.10.2023, Wissenschaftliches Personal The Technology and Innovation Management (TIM) Group at the TUM School of Management of the Tech-nical University of Munich, headed by Prof. Dr. Joachim
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computer science, electrical engineering, control systems, or a related field. • Prior experience in reachability analysis, formal verification methods, control theory, or related domains. • Proficiency in
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Additive Manufacturing is looking for a full-time applicant as researcher (m/f/d) Qualifications and Experience Outstanding academic degree in computer science and engineering, materials science, metallurgy
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. Requirements: • A master's degree in life sciences or computational biology or MD degree • Experience in the field of immunology. Experience in flow cytometry, cell culture and in high-dimensional single-cell