633 computer-programmer-"https:" "https:" "https:" "UNIV" positions at Pennsylvania State University
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prepares trainees for professional careers through comprehensive clinical, regulatory, and scholarly training. Learn more about the program and the didactic curriculum at: https://med.psu.edu/residencies
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SPECIFICS The Uzun Lab at the Penn State College of Medicine, Department of Pediatrics, Hershey, PA, is seeking a postdoctoral scholar in Bioinformatics/Computational Biology. Our lab’s research interests
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are seeking a talented, experienced, and highly-motivated Software Developer to join the Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. You will
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REQUIREMENTS The Department of Computer Science and Engineering within the College of Engineering is seeking applicants for a part-time programmer. The role: Help us build a focused, sharp system that turns peer
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their peers, and networking. Learn more about the program at https://readinessinstitute.psu.edu/programs/summer-discovery/ . About this role: We are currently looking for junior instructors for the 5-week
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their peers, and networking. Learn more about the program at https://readinessinstitute.psu.edu/programs/summer-discovery/ . About this role: We are currently looking for junior instructors for the 5-week
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during regular business hours. Consult with faculty, staff, parents, and others on issues of student care and concern. Participate in CAPS graduate training program activities such as providing trainee
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graduation listing, monitor program outcomes and prepare periodic reports, distribute recruitment information) Assisting with planning and executing conference and awareness events or other special events (e.g
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are seeking a talented, experienced, and highly-motivated Software Developer to join the Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. You will assist in
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field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research experiences showing independence and innovation