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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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and policy recommendations. Qualifications: A Ph.D. in computer science, information science, sociology, labor studies, political science, or a related field by start date, awarded within the last five
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particularly good fits for the program. While the RTP team primarily operates remotely, this role includes some required travel and in-person engagement to support relationship-building and policy engagement
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computational methods to visual art. This position is open to current Penn State undergraduates, and preference will be given to students with prior research experience in this area. Compensation: The starting
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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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undergraduate program (e.g., Education, Human Development, Psychology, Mathematics, or Statistics) Successful completion of CITI Training Commitment to working 30 hours/per week In-person work on the UP campus
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vehicle record check. If the selected candidate is under the age of 21, they must also take an online University-sponsored driver training program. The Pennsylvania State University is committed to and
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Pennsylvania State University, Department of Statistics Position ID: PSU -POSTDOC7 [#26574] Position Title: Position Type: Postdoctoral Position Location: State College, Pennsylvania 16802, United States of America [map ] Subject Area: Statistics Appl Deadline: (posted 2025/04/29, listed until...
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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laboratories of Dr. Juliana Vasco-Correa and Dr. Christine Costello on multiple funded research projects, performing computational modeling of crop and livestock production and forestry systems, and