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field. Experience and skills Experience in R&D projects related to the field of data analytics and modelling in Energy, Environment, Mobility or Climate, among others. Strong programming skills in Python
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interpersonal skills with team-oriented mind-set Interest in setting-up new academic and industrial collaborations. Advanced programming skills (e.g. Python) would be considered as an asset. Language skills
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, Mobility or Climate, among others. Strong programming skills in Python/R, machine learning frameworks, and dashboarding tools (e.g., Streamlit, Superset, Grafana, PowerBI). Familiarity with various types
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of micropollutants Good basics in hydrological and substance flow modelling Experience in statistical data evaluation and programming skills (R, Python, etc.) Language skills Fluency in English and French or German
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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, misinformation intervention, and computational social science Solid programming skills, e.g., Python, machine learning frameworks, data analysis tools Experience with social media research or large language models
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language FORTRAN is a plus. · Knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. · You like working in a team, explaining
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, including, but not restricted to, geometry or shape optimization, parameter optimization, or multi-objective optimization. · Strong programming skills (e.g. Python, C/C++, R or similar) and experience
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, Engineering or Chemistry Familiarity with areas such as design-of-experiments, soft matter physics, experience in programming (e.g. Python) Experience in X-Ray scattering, rheology or thermal analysis are a
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) Proficiency in scientific programming using Python, with experience in Matlab and/or R considered an asset. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience in