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. The ideal candidate will have a completed degree (Masters/PhD) in Applied Mathematics, CSE, or comparable programs with above-average results; good programming skills and experience in C++ and Python
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knowledge in the fields of wind energy and hydrogen as well as some experience with Python. What you can expect What we can offer you ... We offer various opportunities to join us as a student. Whether it is
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knowledge in programming, e.g., with Python Tape-out experience If you enjoy creative work and developing new ideas and prefer a structured and team-oriented working style, we look forward to your application
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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programming background with expierence in using Python, matlab, and/or Java, etc. a good command of German and English, both for teaching and for the preparation of research proposals and publications process
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-resolution behavioral data. Manage hardware (cameras, sensors) and software pipelines for continuous monitoring. • Computational Modeling: Develop and apply statistical or machine learning models (in Python