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hydrodynamic coastal flow fields using SWAN, SWASH, SCHISM or a comparable model; writing python code to advect virtual macroplastic items in these flow fields using the Parcels-code.org framework; exploring
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on beaches. During the project, you will be involved in: setting up hydrodynamic coastal flow fields using SWAN, SWASH, SCHISM or a comparable model; writing python code to advect virtual macroplastic items in
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-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in R or Python). Good-to-have: You have worked with large-scale text data, natural
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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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. 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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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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-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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coding in C++/Python/Julia and/or using software such as COMSOL Multiphysics. You have experience and/or willing to learn hands-on cell testing via electrochemical characterisation (i-V, electrochemical
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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