205 computer "https:" "https:" "https:" "https:" "U.S" positions at Technical University of Munich
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of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise
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Freising, Germany Tel. +49 8161 71 3961 patrick.bienert@tum.de https://www.mls.ls.tum.de/en/cropphys/home/ www.tum.de The position is suitable for disabled persons. Disabled applicants will be given
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Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and
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with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep
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for admission to a Ph.D. program at TUM. More infor-mation on a doctorate at TUM can be found on the websites of the TUM Graduate School and of the Graduate Center of Engineering and Design. What we offer Full
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for benchmarking, HPDA/HPC support, and education (e.g. MOOCs, organizing workshops, facilitating community building). Requirements: Completed university degree in computer science or applied mathematics, remote
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) in computer science, geoinformatics, data science, business administration, or comparable field of study several years of professional experience in Earth observation research institute or industry
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and publications, there is the possibility of international research stays and conference travel. Benefit from a comprehensive training program covering both subject-specific and interdisciplinary
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of ML for Earth observation will be supported. Requirements: PhD in computer science, geoinformatics, data science, business administration, or comparable field of study professional experience in Earth
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: A master’s degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related field A solid background in dynamic programming, Markov decision processes