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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
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contribution to human wellbeing (e.g. IPBES and SEEA); Strong quantitative skills and ability to work with large (geospatial) data sets. Experience with GIS software and fluency in Python or R is needed
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supervision The following experience will strengthen your application: Advanced coding skills (Python, R, etc.) Expertise in GIS and data visualisation. Experience applying Machine Learning, particularly
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guidance to support staff and/or student employees. Must be proficient in the use of python, JavaScript, CSS, and HTML; PostgreSQL, MySQL, and SQL oracle; Linux Red Hat and Ubuntu ****The final salary
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programming skills (e.g., Python, Ruby, PowerShell). A good working knowledge of Artificial Intelligence (AI) principles. Including LLMs and the use of AI Agents Experience working with GIS systems and
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organizational and documentation skills; familiarity with GIS is a plus. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405441/research-engineer-d… Requirements Additional Information
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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., examples of program codes (Python, R, SQL, GIS scripts, etc.), description or documentation of technical solutions to research problems in which the applicant participated (spatial data processing
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competitions including creating challenges Building integrated dashboards with any of the following tools: SQL Server, PowerBI, Tableau, Python/Machine Learning, AWS, Azure. Security clearance (current or
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hours; Health insurance, employee benefits, and life in a pleasant and safe city; Competitive salary. Where to apply E-mail vladimir.remes@upol.cz Website https://pracuj.upol.cz/nc/zprava/clanek/postdoc