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rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on
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computer scientist with experience in bioinformatics, solid programming skills and knowledge in 3D protein structures. Machine learning skills and knowledge of Web development are a plus. Good interpersonal
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, machine learning and AI applications, detector construction and operation, and R&D with test stands and test-beam experiments. Successful candidates will have the opportunity to play an important role in
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machine learning methods is required. You are expected to have a proven track record of publishing scientific results in peer-reviewed journals. What we offer As well as the exciting opportunities this role
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second-year contingent on performance and continued funding. Fellows in the postdoctoral track are not required or expected to teach, but if they wish, they may have the option of teaching. Teaching
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will continue to build from our learnings. https://pubs.rsc.org/en/content/articlelanding/2025/gc/d5gc01813g https://pubs.rsc.org/en/content/articlehtml/2018/gc/c7gc03747c https://pubs.rsc.org/en/content
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for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive modeling, machine learning
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
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Posting Details Posting Details Job Title Postdoctoral Scholar Requisition Number DU14183 Department Name 81130:Community & Leadership Development Work Location Lexington, KY Salary Range $50,000