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, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
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spatial, temporal, or spatiotemporal modeling, process-informed spatiotemporal models, causal inference, AI/ML/DL, causal ML, explainable ML, AI/ML/DL, and other relevant analytical skills. Experience
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on monitor displays, understand three dimensional relationships and the spatial relationships of structures. Candidate must be able to read and understand medical and nursing literature. Exposure to radiation
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TLDR: Build the model backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
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, spatial economy and planning, transport studies, urban analytics and smart cities, housing studies, healthy cities and urban environmental studies. Information about the Department can be obtained at https
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of Chicago. For more information visit https://bfi.uchicago.edu and https://bfi.uchicago.edu/info-for/prep/. Job Summary The Research Professional will report to an BFI-affiliated faculty member at
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for the Center for Personalized Health. Preference will be given to candidates with PhD in biomedical engineering, multiomics, spatial transcriptomics, or related field, as well as experience in next-generation
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for the other courses may include introductory computational methods, statistical methods, text analysis, network analysis, spatial analysis, societal impact of AI, digital media, art and technology, social media
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policy, with preference to the following focal areas: terrestrial wildlife, spatial ecology of land-use change, One Health, urban ecology, or sustainable agriculture. Evidence of research and teaching
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) knowledge on cutting edge technologies including but not limited to genomics, single-cell spatial multi-omics, proteomics, metabolomics; (iii) track record of independent research and publications on related