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- Strongest interest in Big Data and AI applications for data acquisition, data processing, data analysis, and advanced visualization of results - GIS-qualifications are of major advances - Skills in project
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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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skills (especially with Python and PostGres), and proven experience in development and maintenance of complex software • Experience with in-situ aerosol measurement techniques, aerosol instrument
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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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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