29 parallel-programming-"LIST" Postdoctoral positions at Technical University of Munich
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with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard
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or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and
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international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a three-year contract with the possibility
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cover letter, a CV containing a complete list of publications, a brief statement of research experiences, the addresses of two possible referees, directly by email to christina.zielinski@leibniz-hki.de
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letter, and list of references Deadlines: the positions are to start in Autumn or as negotiated; applications are due by Sep 13 but may continue until the positions are filled Please contact jan.kretinsky
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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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, please also add your list of publications, projects, cooperations, etc.). But most importantly, tell us what motivates you to join our team and work on (one of) the research fields outlined above! Let us
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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part of a degree program. In particular, knowledge about finite-element analysis is an absolute must . Familiarity with iterative solvers , preconditioners , multigrid methods , and mixed-precision