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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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familiarity with health-related datasets. Additional Qualifications: Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome
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Director to identify technical resources and future needs. • Monitors and maintains the updates of GIS related software on PC workstations including but not limited to ArcGIS Pro, QGIS, R and Python
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for the materiality of the built environment in defined regions, based on MFA and supported by BIM, GIS, IoT and AI technologies. Map existing anthropogenic material stocks and their dynamics and simulate circularity
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for the materiality of the built environment in defined regions, based on MFA and supported by BIM, GIS, IoT and AI technologies. Map existing anthropogenic material stocks and their dynamics and simulate circularity
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Position Details Position Information Recruitment/Posting Title Research Scientist II (GIS) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Cancer Registry
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SWAT+gwflow Proven experience in modelling natural and human-induced drought (streamflow and groundwater drought). Proficiency in programming (R, Python, or MATLAB) and GIS tools. Experience in climate
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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 16 hours ago
data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality