102 data-science-"https:"-"https:"-"https:" Postdoctoral positions at Pennsylvania State University
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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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. 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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) · Excellent attention to detail · Applied research experience, such as large administrative datasets or real-world data · Enthusiasm and commitment to accelerating the translation of science to
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protocols and data acquisitions Mentoring students and promoting collaborations Specific criteria include: Recent PhD (0 - 3 years) in a relevant health economics/services research, biostatistics
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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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. 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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Qualifications Ph.D. degree with expertise in at least two of the following areas: human-environment geography, landscape ecology, land system science, remote sensing/GIS science, data science, or related field
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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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. 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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students and for collaborative work within the Institute for Gravitation and the Cosmos and the Institute for Computational and Data Science. The candidate must have a PhD in Physics, Astronomy or a closely