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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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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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-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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, readiness to participate in interdisciplinary cooperation. Professional command of English. Affinity with computational experimentation in mathematics (Python, Sage, Mathematica, Macaulay2, Gurobi, etc) is a
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). Flexible, readiness to participate in interdisciplinary cooperation. Professional command of English. Affinity with computational experimentation in mathematics (Python, Sage, Mathematica, Macaulay2, Gurobi
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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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Modelling, Hidden Markov Models, Causal Discovery Algorithms, Reinforcement Learning) Proficiency in R, Python, and/or Mplus. Excellent command of English (spoken and written) Your scientific qualities
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the box and explore new avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general-purpose programming languages, for example Python, and general
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variables. Programming experience (e.g. Matlab, Python). A demonstrable interest in atmospheric physics and offshore wind turbines. Good organizational skills and ability to work independently. Good command