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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry
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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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communication skills and ability to express yourself in spoken and written German and English language • Proficient use of common programming languages, MS-office, data storages and image processing • Ability
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. Please submit your electronic application and documents (cover letter, CV, copies of your transcripts of records) via email to Prof. Dr. Reinhard Heckel (reinhard.heckel@tum.de). For full consideration
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environment • Full-time position (TV-L E13) with the aim of earning a doctoral degree • Several research visits to Barcelona in the group of Prof. Andreas Winter How to apply Please send us your application by
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degree (Ph.D.). IGSSE grants a fully funded scholarship (€ 2,000 monthly), including a competent international qualification program. The scholarship is for four years provided that the progress
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or robots as well as (maybe) on board of a satellite. Good knowledge of programming (C++ and Python) and interest in modern didactics (4CID model) is required. The second position is located in the area of
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29.09.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how blood vessels self-organize their network to reach uniform blood flow within
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them to apply. Further information: Prof. Dr. med. Christina Zielinski | +49 3641 532 1251 | career@leibniz-hki.de www.zielinskilab.com Applications: Complete applications in English should include a