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Python, C++ or similar Experience with data processing and model interpretation Ability to work independently and collaboratively in an international research environment Good written and spoken English
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closely related field Ideal candidates have to possess several of the following: Excellent academic records from excellent institutions Strong quantitative and analytical skills, incl. programming (Python
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strong background in mathematical optimisation, in particular mixed-integer linear programming, together with stochastic or robust optimisation and solid programming skills (preferably in Python
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already have experience working computationally and developing scientific software Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based
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(Python, MATLAB, or similar) Motivation to combine computational modeling with experimental validation in a highly collaborative environment We offer A unique environment combining theory, computation, and
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with automation and reproducible infrastructure practices, including infrastructure as code, version control, configuration management, shell scripting, and Python Ability to write clear technical
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PhD in meteorology, climatology, environmental science, or a closely related field Excellent programming skills in R and/or Python and a profound knowledge of state-of-the-art statistical methods
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experimental control and scientific data analysis, preferably using Python, C/C++, MATLAB, LabVIEW or related tools The ability to guide junior researchers and coordinate work across a collaborative experimental
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, preferably in Python, MATLAB, LabView, C/C++ or a comparable environment A careful, independent and collaborative working style, with very good written and spoken English Experience with coincidence
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instrumentation Strong skills in experimental control and scientific data analysis, preferably using Python, C/C++, MATLAB, LabVIEW or related tools The ability to guide junior researchers and coordinate work