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installation and maintenance of field devices, data transfer, - storage and -analysis, spatial data, AI, big data and advanced visualization of results (refer to noeslide.at) GIS-qualifications are of major
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to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R, or similar
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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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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
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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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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