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programming skills (Stata, R, Python; MATLAB) • Knowledge of econometrics and macroeconomic theory • Plus if also skilled in blockchain analysis but not necessary. • Strong written and verbal communication
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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statistical processing (e.g. R, Python) Knowledge of atmospheric chemistry and/or air quality would be an asset Ability to work independently, scientific rigor, adaptability, teamwork skills, open‑mindedness
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related discipline, is required. Basic knowledge and initial experience with experimental working methods (e.g. spectroscopy, laser physics) Fundamental programming skills and expertise, e.g., Python, Julia
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experience. They will also hold, or be currently working towards, a PhD in Linguistics, Data Science, Statistics, Psychology, Education or a related field. Proficiency in R or Python for data analysis is
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science, oceanography, physics, environmental science, or a related field • Strong skills in scientific programming (Python, Fortran, or similar) • Interest in Earth system modelling and climate science
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field Has strong interest in methodological research in healthcare Has experience with NLP and/or language modeling techniques Has solid programming skills (e.g., Python) Is motivated to work at the
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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral