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Field
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plasticity metrics derived from functional MRI data. Investigate developmental differences in brain functional networks Support generation and testing of improvements for code bases for the analysis
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
skillsConceptualization and designOrganizationPlanningProblem identification and resolutionProject managementResearchStatistical analysisSkills: Machine/Equipment:CalculatorComputer network (department or school)Computer
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addition to core programs, members of the department also participate in the NSM college-wide Molecular Biophysics graduate training program, the Knoebel Institute for Healthy Aging, and the DU Evolution, Ecology
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department SHP-Health Informatics
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-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not require teaching, but it may be possible to get teaching
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largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With
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cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment