132 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" Fellowship positions in United States
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. Strong programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in
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) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development
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synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively
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synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively
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yet been filled. Position description The Department of Pathology & Laboratory Medicine at the University of California, Irvine is now accepting applications for a 1-year fellowship in GI and liver
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
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collaborative projects involving large international consortia. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including