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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Position Details Position Information Announcement Number STAFF - VA - 26221 For questions regarding this position, please contact: Kelley Kane kelleykane@montana.edu 406-994-5097 Classification
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, exercise physiology, health communications, public health, social sciences, life sciences, engineering, data and computation science, and economics. Healthy Living implements, evaluates, and disseminates
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/FSI) of cardiac valves. * Integrate experimental data with simulation results to evaluate stress and strain distributions. * Collaborate with clinicians, engineers, and scientists across disciplines
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Posting Details Position Information Posting Number PG191586PD Position Number 00111723 Position Type Post Doc FLSA Departmental Information Department ID 150401 - Forestry & Environmental Resources
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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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. Experience with at-sea data collection. Experience with zooplankton sampling or underwater acoustics. Programming experience in R, Matlab, Python, or other statistical languages. Preferred Qualifications: Ph.D
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(the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO's mission is to develop
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne