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analytical chemistry, organic chemistry, inorganic chemistry, physical chemistry, materials chemistry, and biochemistry. The candidate will develop novel machine learning models in conjunction with electronic
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students, residents and fellows in addition to lifelong learning opportunities for practicing physicians. The department consists of 19 specialty divisions based at Riley Hospital for Children at Indiana
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Postdoctoral Fellow Advancing Nature-Based Carbon Accounting in Eastern US Forests via Machine Learning and Remote Sensing O’Neill School of Public and Environmental Affairs Bloomington, Indiana Indiana
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, computer scientists, and policy experts. The postdocs will work with Prof. Daniel Loveless on various areas of research, including radiation and reliability effects in emerging semiconductor technologies
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traits using genomics and other omics data sources; developing and/or comparing statistical models, with a focus on machine learning methods, for more accurate predictions of polygenic risk scores and
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Postdoctoral Fellow Advancing Nature-Based Carbon Accounting in Eastern US Forests via Machine Learning and Remote Sensing O’Neill School of Public and Environmental Affairs Bloomington, Indiana Indiana
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chemistry in computer-aided and AI-powered drug design and synthesis. The team has cell culture and animal models of various cancers including leukemia samples collected from patients. The successful
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in programming languages such as Python, R, or equivalent. § Strong background in statistical analysis and familiarity with machine learning approaches. § Proven ability to handle and interpret large
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computer, engineering, and cognitive scientists. The postdocs will work with Prof. Eleftherios Garyfallidis on various areas of research, including medical imaging, machine learning and/or scientific
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quantitative endophenotypes from neuroimaging and other fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning