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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken
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, computer science, mechanical engineering or electrical engineering Ideally, you have already gained some programming experience with Python and have already tried your hand at data science You may even have used
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(e.g. Python) preferable You have already taken on responsibility, e.g. in supervising doctoral students, leading small teams or in coordinating research roles, and would now like to develop
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
of aerosols and cloud microphysics. Requirements Background in areas such as physics, fluid mechanics, optics or meteorology Programming skills (e.g., Python, C/C++) Strong teamwork skills and good command
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knowledge of statistical programming (e.g. Stata, R, or Python) - very good knowledge of English and German - very high level of personal responsibility and motivation as well as ability to work in a team
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
, turbulence, atmospheric flows, meteorology. Knowledge of programming languages such as Python, MATLAB or C++. Ability and desire to work in a diverse and international team. Good command of English. German
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into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
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. The algorithm is then tested for effectiveness and efficiency against an existing data set. What you will do You will design and realise the concept in Python You carry out a literature research, design