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Field
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and analysing health data e.g., electronic health records, and/or satellite-derived data analysis products and GIS data as well as experience in medical large language models and foundation models e.g
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
of flora and fauna, stable isotopes, programming in R, statistical analysis, and GIS, will be beneficial. Our Department: The Department of Biology at SDU is a dynamic and multidisciplinary environment
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econometrics The candidate should show some acquaintance in managing large datasets and non-traditional data, e.g. GIS, satellite-based, social media Fluency in English; a good understanding of French will be
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geospatial analyses using GIS tools. Ensure data quality, integrity, and secure data management practices in accordance with institutional and regulatory standards. Prepare manuscripts, presentations, and
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the framework of the OCP Sulfur 360° initiative. The successful candidate will contribute to a national-scale assessment of biogenic sulfur potential in Moroccan sedimentary basins. His work will combine GIS
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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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Postdoctoral Research Associate in Health Economics Department of Finance Gies College of Business Postdoctoral Research Associate Health Care Research Initiative Seeking a full-time postdoctoral
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is
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questions related to infrastructure and development, and a thorough knowledge of applied econometrics The candidate should show some acquaintance in managing large datasets and non-traditional data, e.g. GIS