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to team-based teaching and course coordination Demonstrable skills in computer languages, specifically R or Python, is preferred Experience with teaching large and diverse student cohorts is an advantage
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willing to contribute to team-based teaching and course coordination Demonstrable skills in computer languages, specifically R or Python, is preferred Experience with teaching large and diverse student
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(40% of the social sector). Information This is a four-month position. The Data analyst will contribute to training existing econometric models in R and Python and running scenarios, as
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using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch
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, or prior research) Proficiency in programming using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy
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of the project interests: you should have a strong interest in statistical theory, methodology and implementation programming skills: you should have excellent programming skills in R/Python proficient
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check the Graduate Schools Admission Requirements. Nice-to-haves Experience working with adsorption materials. R and Python skills. If your native language is not English and you do not hold a degree from
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degree) in (applied) physics, electrical engineering, or related subjects. Solid background in quantum optics, quantum mechanics, and photonics. Knowledge of programming languages such as Python and MATLAB
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; Interest in interdisciplinary environmental assessment and offshore renewable energy systems; Experience with programming and/or data analysis (e.g. Python, R, MATLAB, GIS); Excellent written and spoken
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organisational skills Experience with programming (e.g., Python, Matlab or R) Experience or at least affinity with computational modelling Excellent oral and written communication skills in English Proficiency in