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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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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
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academic degree (Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline Sound programming knowledge in Python and TypeScript/JavaScript
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related field of study • Interest in energy technology and energy economics • Experience in energy system modelling is an advantage • Basic programming skills, ideally in Python • Independent and analytical
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, Python) Very good written and spoken English skills What you can expect There is the possibility of a PhD. Cooperation with national and international partners. In our institution you will find a
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qualitative methods; some background in or willingness to learn computational social science methods as well as R and/or Python is highly desirable. Willingness to develop an ambitious empirical research
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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numerical and experimental aspects, profound knowledge of control engineering, preferably with experimental experience, extensive experience in programming with at least Matlab or Python, high motivation and
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analytical skills have a strong programming background with experience in using Python, C/C++, and/or Java, etc. strong interpersonal skills with demonstrated ability to communicate (written and oral in