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Master’s degree in biotechnology, bioengineering, biosystems engineering, chemical engineering, food science, or a comparable field of study, preferably with an affinity for technical tasks - Basic knowledge
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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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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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21.12.2021, Wissenschaftliches Personal The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms
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role in determining which plants are visited by bees for food collection and how they affect bee health and fitness. In particular pollen chemistry additionally affects the bees’ resistance to pathogens
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Nemetschek Institute of Artificial Intelligence for the Built World and conducted in collaboration with a range of other TUM chairs from the Geodesy and Computer Sciences domains. Tasks Your duties will
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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economics, mathematics, business/management, physics, psychology, IT, or related fields • Outstanding quantitative skills (profound knowledge of stochastics and calculus is mandatory; knowledge of game theory