198 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at Technical University of Munich
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think
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pressing sustainability challenges through technology - A deep interest to work in an international, diverse, and inclusive team - Good communication skills (written and oral) in English - A wide range of
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modelling is greatly beneficial. Excellent English and the willingness to learn the German language are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science
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. Expected qualification: High motivation and commitment to scientific excellence Above-average Master Degree / Diploma in engineering (chemical engineering, biochemical engineering, or related engineering
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., based on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms
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of microfluidic devices. Simulation for microfluidics. (CFD) High Performance Computing and/or GPU programming for this domain. Machine learning algorithms for this domain Clean energy solutions (e.g., microfluidic
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extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting
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for geospatial data acquisition in which we support (in a project with partners from the computer engineering domain) the development of novel AI chips made in Germany by providing use-cases and investigating
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journals. Close collaboration 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