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engineering, energy informatics, or a related field Solid programming skills, ideally in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems
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of RDM and Open Science Good knowledge of research practice, as well as a broad understanding of how research operates, and how data and software underpin reproducible research Knowledge of Python and
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skills and competence (desirable skills): Ideally you are experienced or versed in publishing and layouting conference organization MaxQDA and social scinece GIS software university procedures and
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knowledge of programming (e.g., Python, R, or MATLAB) Experience of working in tropical cities Experience in systematic literature review is desired Interest and/or experience in urban landslide research
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researcher will support the project by developing a landslide hazard model that incorporates urbanisation dynamics, using the Python-based LandslideProbability tool from the Landlab library. This position is
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multivariate statistics and data clustering Experience in research management and leading project staff IT skills, including programming (preferably Python) for data analysis and visualization Didactic skills
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also desirable. Candidates should hold a very good university degree in Psychology, Biomedical Engineering, or Computer Science. Strong computational and informatics skills are required, i.e., R, Python
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, civil engineering, mobility management, or related disciplines. Good knowledge of software development, especially in data analysis in Python (e.g., Pandas, NumPy), visualisation (e.g., Matplotlib, Plotly
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need expert knowledge in bioinformatic data analysis. Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models are must-criteria
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personality: A completed Master's degree in Data Science, Physics, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience