690 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Pennsylvania State University
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still apply. I’m interested! How do I apply? Submit the following to https://hr.psu.edu/careers: 1) A complete application 2) Resume containing past work history or related positions/experiences 3) A
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REQUIREMENTS Penn State Scranton is currently accepting applications for part-time research assistants at the Sustainable Communities Lab. Read more about Sustainable Communities Lab here: https://nonnasorokina
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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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-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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electronically via Penn State’s Careers Website: https://hr.psu.edu/careers BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in addition to applicable background checks: PA State Police
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lead programs and engage with campers during the ride. I’m interested! How do I apply? Submit via: https://hr.psu.edu/careers: 1) A complete application 2) A cover letter including an explanation of why
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REQUIREMENTS Part-time (spring and fall semesters and potential for summer employment) research assistant positions are available in the Bull Lab (https://plantpath.psu.edu/research/labs/bull ) in the Department
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models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in
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of applications will begin immediately and will continue until the position is filled. Electronically submit a cover letter, resume and references through https://hr.psu.edu/careers . Any questions, contact: Andy
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artificial intelligence, machine learning, deep learning, natural language processing, and generative AI, as well as emerging areas such as agentic AI systems, low-code/no-code AI platforms, and responsible AI