64 development "https:" "https:" "https:" "Washington University in St" research jobs at Pennsylvania State University
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REQUIREMENTS The Department of Biobehavioral Health at The Pennsylvania State University (http://bbh.hhd.psu.edu/) is seeking applications for an Undergraduate Research Assistant to join the ‘Omics’ Discovery
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, health monitoring, and preventive medicine for laboratory animal species Support biomedical research by advising investigators on animal model use and welfare considerations Train research staff and
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of re-funding. Applicants must complete the Penn State application at https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Postdoctoral-Scholar and must submit an application
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is to develop computationally efficient reduced-order dynamical systems on graph with modern power grid systems as an application. Education and Experience: Applicants must have recently completed a
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scholars. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical
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-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
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skills are essential. Applicants must complete the Penn State application and must submit an application through https://www.mathjobs.org/jobs/list/28086 ">mathjobs.org. BACKGROUND CHECKS/CLEARANCES
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. Additional Information Applicants must complete the Penn State application and must submit an application through https://www.mathjobs.org/jobs/list/28088 ">Mathjobs.org (mathjobs.org) with the following
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REQUIREMENTS Penn State Scranton is currently accepting applications for part-time research assistants at the Sustainable Communities Lab. Read more about Sustainable Communities Lab here: https://nonnasorokina
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. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze