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, probability theory, statistics and mathematical finance and an open mind for applications. Excellent command of written and spoken English. Programming skills (e.g. Python, R). Ability to work in teams and high
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in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems Familiarity with cloud infrastructure, Docker (ideally Kubernetes), CI/CD, and
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. • You are capable of scientific programming in Python. • You have experience with supercomputing clusters and are well-versed in shell scripting. • You had exposure to cloud-based platforms like GitHub
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, probability theory, statistics and mathematical finance and an open mind for applications. Excellent command of written and spoken English. Programming skills (e.g. Python, R). Ability to work in teams and high
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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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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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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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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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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