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mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's
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social sciences Excellent knowledge of the following statistical software programs: R and Python Experience in science communication and knowledge transfer (preferably with a focus on teaching scientific
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Python and/or C/C++/Fortran. Strong motivation to work in an interdisciplinary environment at the interface of theoretical chemistry and quantum technologies. High level of self-motivation, commitment, and
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activities. This is part of your personality: Strong computational skills are required, particularly in Python. Ideally, the candidate should have knowledge of natural language processing (including large
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of these methods and are excited to expand their skillset with the approaches that they are not yet familiar with. Programming skills in python and R with experience in statistical data analysis, especially with
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and ordering catalogs, e.g., Swagelok Knowledge of aerosol physics and experience with measurement campaigns – particularly aircraft field experiments – is an advantage Interest in programming (Python
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Python and/or Fortran. What we offer: A longer-than-average postdoctoral contract with freedom to choose your specialized research topics: This is a university-funded position that will allow you more
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Coding skills (Python, MATLAB, R, Linux/Bash) Very good English and German skills (B1) Team player with strong social / communication skills Coding skills (SPSS, JASP, R) Very good English and German
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studies in Computer Science, Business Informatics, Data Science, or an equivalent field. Good programming skills in Python An excellent command of English and German (spoken and written) An interest in
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data advantageous Excellent programming skills in STATA, R, or Python. Excellent track record in terms of international publications in peer-relevant media Willingness to acquire third-party funding