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. Skilled in MATLAB and Python. Experience with C++ and GPU programming (CUDA) is an advantage. Ability to work in a team, communicate effectively, coordinate multidisciplinary collaborations, and manage
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programming and software development. Familiarity with Python and statistical computing libraries, like PyTorch or JAX, etc., would be preferred. You are a motivational teacher, with an encouraging teaching
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-time programming (C++, Python) Knowledge of the following is a plus: Real-time communication systems (e.g. EtherCAT, CAN bus) Closed-loop control of robotic systems Experience with experimental human
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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools
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extensive experience with performing phylo- and metagenomic analyses; Has extensive programming skills (e.g. Python, R, bash) and experience with HPC; Is able to work in a structured and organized way; Has
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of practical interest, ideally with a focus on Intelligent Energy Systems. This should be demonstrated by a relevant MSc thesis or publications. Familiarity with good software engineering practices and Python
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-up, crystallisation, and advanced analytical methods (NMR, IR, MS, PXRD). (Additional experience with reaction engineering, reactor optimisation, python for data analysis is considered beneficial but
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a similar program. You also possess: Have experience in the construction and empirical calibration of models Possess good programming skills in Python, MathLab, Mathematica, or similar software Good
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experience in scientific programming (Matlab and/or Python and/or C) Analytical mindset Proven autonomous attitude in research Hands-on approach with experimental lab work Excellent interpersonal and
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quantitative and analytical skills. A result-oriented attitude and enjoys working in an interdisciplinary group. The following will make you stand out: Programming experience in Python, GAMS or a similar