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software, functional data analysis, ideally, analysis of NGS/ RNA data • Proficient skills in one or more of the major statistical environments as R and/or Python • Experience working with life scientists
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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hardware platform • Experience working with Matlab, C++, Python or similar • Goal-oriented, independent and structured work style Our offer • Research on current topics in an inspiring international working
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need strong coding skills, ideally in both modern C++ and Python, to design highly performant algorithms. Solid knowledge in the areas of logic synthesis, algorithmics, and optimization problems, as
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XRD, Raman, IR, TEM, XPS. • Experience (also for setup design) using CAD software (e.g., Solidwork), Python, MATLAB, or similar. The following papers are a good starting point to get familiar with
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
learning • robotics and/or mechatronics • computer languages C, C++ and Python and interest to work in an interdisciplinary environment are desired. German language skills are necessary for this position
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communicative and flexible and you enjoy working independently. - the research project is national, so speaking and writing German is an advantage. - LCA software and/or python programming experience is an
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) methods. Experience in handling remote sensing data is a plus Very good programming skills (Python) Very good communication skills (oral and written) in English Ability to work in a highly interdisciplinary
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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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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