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to enlarge these skills further Interest in interdisciplinary research (past experience with interdisciplinary research is a plus), in particular focusing on hazard, risk and disaster risk reduction GIS
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well as reservoir geology and geophysics in the context of various geoenergy applications (hydrocarbons, geothermal energy, CCS, UHS) Expertise in GIS-based geodata management Expertise in the creation of reservoir
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comparable field Very good knowledge of quantitative research methods in medicine or health sciences Demonstrable subject-specific programming skills (e.g., R, Python, etc.) Experience with database usage (e.g
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sustainability or Basic software engineering knowledge and interest in GIS Programming skills like Java, Python, Docker and knowledge of cloud resources (e.g., GCP, AWS) Analytical thinking and enthusiasm
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
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-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS) • Competences in quantitative research methods – ideally knowledge of several of the following
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(past experience with interdisciplinary research is a plus), in particular focusing on hazard, risk and disaster risk reduction GIS qualifications are of major advances Excellent command of English, both
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) • Preferably demonstrable experience in academic writing for publication (e.g. first or co-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS
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Ingenious Partner: Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar Strong proficiency in Python, Angular/React, and Java for application