81 computer-science-data-wahrn-hous Postdoctoral positions at Pennsylvania State University
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Agricultural and Biological Engineering in the College of Agricultural Sciences is seeking a Postdoctoral Scholar in environmental systems
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Time Adaptive Interventions. The post-doctoral scholar will explore many issues related to computer science, behavioral science, and stroke. For example, in the context of computer science, we
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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sciences or related fields). The successful candidate must have a background in bioinformatics for omics data analysis (e.g., (meta)genomics, (meta)transcriptomics, proteomics, and metabolomics data
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anatomical and functional investigation of the cerebrovasculature is highly desirable. However, candidates with other experimental and/or data skills are welcome to apply. Experience in computer programming
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in statistical network modeling, with applications in health and social science data. The scholar will have an opportunity to collaborate with other researchers, and mentor graduate and undergraduate
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focus and interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in
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, molecular biology, immunology, pharmacology. Attention to detail, ability to record and manage large data files, and ability to coordinate assignments on a day-to-day basis. Contact information for three
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Institute (MRI) and the Institute of Computational and Data Sciences (ICDS). Ideal candidates will have experience in astroparticle physics and BSM phenomenology. Special consideration will be given