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Field
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skills in Python and/or R; experience with Linux/HPC environments is an advantage Experience with genomic data analysis, high-performance computing, GPU programming, or software development is a plus
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element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
programming languages and workflows used in data science (e.g. Github, Python) and willingness to learn and use deep learning frameworks (e.g. PyTorch) Strong interest in contributing to the development
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programming language (Fortran, C, C++, Python, Matlab, ...) Very good knowledge of the German and English languages Ability to participate in and conduct field experiments European Class B driving licence
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and chemistry would be an advantage Good experimental skills and interest in working with custom-built or modified instruments Solid programming skills (e.g. Python) are desirable Ability to work
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electronics background, including experience in the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent
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experience in the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work
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, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills Proficiency in at least one programming language (Python, C++, …) Keen interest in
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, especially Python/ Matplotlib, is an advantage Independent, structured and responsible way of working, commitment, high degree of teamwork skills, and enjoyment of cooperative collaboration Interest in
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements