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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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Sequencing (GBS), Whole Genome Sequencing (WGS) and targeted genotyping chips (e.g. MassArray) and analyze them together with environmental data using population genetics and machine learning tools
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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Purdue’s strategic focus on health equity and population health. Program Goals and Learning Objectives The fellow will gain experience in: Designing and conducting pharmacoepidemiologic studies in cancer and
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biology, and medicinal chemistry to uncover cancer-specific vulnerabilities and design therapeutics that restore apoptotic sensitivity. Learn more about our research: https://manoszax28.wixsite.com
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, with frequent travel to campus, may be available. We are recruiting multiple postdocs to join our team in this role. Responsibilities and Duties: Develop and implement complex data analysis projects
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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environmental data to uncover the impact of early life experiences on long-term mental health. You can learn more about the Lab’s work on baby teeth on our website: www.teethforscience.com As a Postdoctoral
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learning and outcomes in children with and without a history of late-talking. The postdoctoral scholar will be an integral contributor and participate in development, testing, analysis, and dissemination
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Job Description Apply now Req Id: 32707 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary POSTDOC OPPORTUNITY: ANALYSIS OF PLANETARY MATERIALS The Department