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Field
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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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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | 3 days ago
programme Support with registration procedures General services and support for international students and doctoral candidates International office on campus Max Planck Institute for Plant Breeding Research
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Gesellschaftswissenschaften (Social Sciences) Course language English Financial support Yes Structured research and supervision Yes Research training / discussion Yes Support for international students and doctoral candidates
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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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available in the further tabs (e.g. “Application requirements”). Programme Description International students from all subjects (except the medical disciplines) who have been admitted to a doctoral programme
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centres Biocenter (Theodor Boveri Institute, Julius von Sachs Institute for Biosciences) Center for Computational and Theoretical Biology (CCTB) Center for Experimental Molecular Medicine (ZEMM
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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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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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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