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Field
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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digital solutions Practical programming skills, ideally in Python; experience in developing automation, interfaces, or data pipelines is an advantage Basic knowledge of data management, data modeling, and
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skills in Python, or other programming languages Independent and structured way of working Very good command of English Our Offer: We work on some of the most pressing challenges of the energy transition
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. Requirements Masters degree in physics (grade of "good" or better). Experience in scientific programming (e. g., Python, Julia). Interest in experimental physics. Good command of English (that will be
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, Mathematics, Engineering, or a related field Strong programming skills in Python and experience with PyTorch and/or JAX Strong interest in engineering problems and motivation to explore new application domains
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communications engineering High level of initiative and interest in scientific work Good communication skills (German/English) and team spirit Experience with MATLAB or Python is an advantage You work
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the field of optical communications engineering High level of initiative and interest in scientific work Good communication skills (German/English) and team spirit Experience with MATLAB or Python is
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, mathematics, or related subjects. In-depth knowledge of scientific software development. Good communication skills. Programming experience in common scientific programming languages (Python, Julia, R, C++, etc
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. 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: Dynamical Systems Formal