77 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "I.E" research jobs at Pennsylvania State University in United States
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Behavior Clinic within the Department of Psychiatry and Behavioral Health (https://sites.psu.edu/abcresearchprogram/). This is a 1-2 year position depending on training needs. The post-doctoral scholar will
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can obtain information about our prior research at: https://research.med.psu.edu/smoking/. The position will remain open until filled. For more information contact tcors@psu.edu . BACKGROUND CHECKS
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. • Rich opportunities will be available for innovative equipment and process development, advanced materials characterization and deep collaborations with theoretical/computational efforts focused
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. Candidates with an interest in the comparative analysis of telomere-to-telomere genomes, non-canonical DNA (i.e., non-B DNA), and sex chromosomes are particularly encouraged to apply. The successful candidate
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-paired taste cue (i.e., conditioned withdrawal) to track the development of addiction in the most vulnerable male and female rats and to test the hypothesis that engagement of, not only reward substrates
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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examining Penn State’s reusable container program. This position is supported by an HHD Sustainability Research Grant. The research assistants will work closely with the faculty supervisor and assist with
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motivated Postdoctoral Scholar to join a dynamic cardiovascular translational research program focused on mechanisms of atrial fibrillation, cardiometabolic disease, and precision medicine approaches
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Postdoctoral Scholar Position in Neuroethics or Techethics, Dept. of Engineering Science & Mechanics
and neuroengineers. Excellent writing and communications skills. Experience conducting qualitative and/or quantitative empirical research (i.e., interviews and/or surveys). To Apply: Interested
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structured and unstructured data, cleanse, process, and organize supply chain datasets from various web sources, industry reports, industry organizations, public data sources (i.e. census, public intelligence