62 associate-professor-computer "https:" "https:" "https:" Postdoctoral positions at Pennsylvania State University
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, multidisciplinary lab encompassing students and postdocs from bioengineering, physiology, cell biology and biophysics. For more information, visit our website: https://sites.psu.edu/hancocklab/ . Qualified
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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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with research interests in courts or sentencing and with a knowledge of, or practical experience with, program evaluation. Key responsibilities of the Postdoctoral Scholar will include collaborating with
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SPECIFICS The Wiersielis Lab in the Department of Biobehavioral Health at The Pennsylvania State University (http://bbh.hhd.psu.edu/) is seeking a highly motivated Postdoctoral Associate to join our research
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plant pathogens in organic production systems through a multi-institutional USDA/OREI funded project. The Postdoctoral Scholar will conduct or coordinate research computational analysis and pattern
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years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a complete
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four academic years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a
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Veterinary Medical Association (AVMA)-accredited college/university (or have successfully passed the Educational Commission for Foreign Veterinary Graduates [ECFVG] examination) and must have a current license
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SPECIFICS Postdoctoral Scholar Opportunity Grain Crop Production Laboratory - Department of Plant Science - Penn State University https://plantscience.psu.edu/research/labs/grain-production-lab Position
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of, or practical experience with, program evaluation. Preference will also be considered for candidates with experience and/or training in using predictive analytics and machine learning techniques