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/SCI Clearance Master’s degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear
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/HS6/01722 entitled “Does pain summation follow arithmetic principles?” The project concerns one of the fundamental yet still poorly understood phenomena related to pain perception—spatial summation
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evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You will collaborate with
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in size and scientific scope. The position will also support additional collaborative projects involving single-cell RNA sequencing, spatial transcriptomics, and other emerging multi-omic technologies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
, Competencies, and Experience Strong programming skills in Python and/or R. Experience analyzing high-dimensional biological data, especially single-cell sequencing data. Strong statistical and quantitative
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spatially explicit social model and a qualitative reasoning engine using open language models, a local documentary corpus and model adaptation methods. * Contribute to coupling these components with DIGI
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spatial analysis of strandings data, including trend and time-series analysis. 6. Produce descriptive statistics, tables, figures and distribution maps, together with the analytical and interpretive content
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or more key focus areas, including: geospatial intelligence, spatial statistics, geographic visualization, GeoAI, cartography, and web mapping. University teaching experience, in particular with online
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advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological background, previous research experience and scientific
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, Environmental Engineering, or related. Proficiency in ArcGIS Pro/QGIS and spatial statistics. Programming in Python (GeoPandas, folium for interactive mapping) or R (sf, tmap); Experience with multi-source