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qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn analysis tools. Excited about
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 23 hours ago
or engineering Advanced knowledge/skills in programming and code development, in particular Python, C++ Experience in working with complex code frameworks Knowledge and experience in
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 4 hours ago
reward signalling. Your qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn
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Science, Materials Science, Engineering, Physics, or a related domain. Proficient in Python; experience or eagerness to learn ML libraries (PyTorch, TensorFlow, scikit-learn), Familiarity with time-series analysis and
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(Soziale Robotik, Eyetracking) Sie bringen mit: Abgeschlossenes Studium (B.Sc.) in Informatik, Computerlinguistik, Data Science, Kognitionswissenschaft oder ähnlich Programmierkenntnisse, insbesondere Python
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(preferably in Python) Very good knowledge in German or English Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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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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are an advantage: femtosecond laser and diagnostics, high power lasers, ultrahigh vacuum, programming skills (Labview, Python) Ability to work closely within a team: engineers, students, postdocs and scientists, and
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. Using a techno-economic optimization approach based on the Python-based open-source framework ETHOS.FINE, regionalized hydrogen cost potentials are derived to support decision making in industry, policy