31 Environment-"https:"-"https:" Postdoctoral positions at Pennsylvania State University
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of executing independent research in a highly multidisciplinary team environment. Successful applicants will have expertise in health outcomes research and experience in large data analyses. Our program is a
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and stakeholder events as needed. Environment The successful candidate will join a collaborative and interdisciplinary team focused on addressing emerging challenges in veterinary and medical entomology
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offers a highly collaborative research environment with access to world-class facilities, including advanced analytical instrumentation, materials characterization facilities, and interdisciplinary
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operating procedures to conduct consistent processing and characterization of materials for extreme environments. Work collaboratively on a multidisciplinary team. Synthesize and manufacture unique design
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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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environment. This position offers strong scientific mentorship, access to cutting-edge technologies, and opportunities for career development in academic medicine. Research Areas of Interest We are particularly
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Observations (PUEO) and PBR search for neutrino interactions in the ice and upgoing tau neutrinos from a high altitude. Penn State is a vibrant and stimulating environment for particle and multi-messenger
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manuscripts of completed work for publication Contribute to overall lab environment and participate in lab discussions Train new graduate students and other lab personnel Assure research is carried out in
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techniques is a plus. This position offers training in cutting-edge structural, biochemical, and biophysical approaches within a collaborative research environment at Penn State College of Medicine. Candidates
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across the Department of PM&R and Kinesiology, the lab provides access to diverse collaborators, clinical populations, and basic motor learning research environments, enabling truly translational and