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with writing scientific manuscripts and good academic writing skills; Excellent programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility
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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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the following list: C, C++, Python, Matlab, Mathematica. Programming skills will be used to build experiment control systems, data analysis systems, and to perform numerical simulations of experiments. This is
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relevant to molecular and/or materials discovery, such as DFT, MD, and ML–based property prediction. Basic knowledge of physical chemistry, thermodynamics, or electrochemistry. Proficiency in Python and
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programming and data analysis tools (e.g., SQL, Python, R, GIS platforms); experience with the management and analysis of human subject data (e.g., from questionnaires, interviews, behavioural experiments, eye
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. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in spoken and
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equations numerically Experience with programming (C, C++, Python, Matlab or alike) Creative pro-active team player with good analytical skills A research-oriented attitude Ability to work in an
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, hydrological modelling, AI-based methods; Experience with programming languages (e.g. Python); Motivation to cooperate in a diverse and multidisciplinary research team; Strong social and communication skills
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skills and programming experience, preferably in R and C++ (or Python, Java or similar); clear interest in the field of biomedical or public health research; good communication skills and excellent command
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) Physics Knowledge of experimental atomic, plasma and/or laser physics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed