87 distributed-computing-associate-professor Postdoctoral positions at Pennsylvania State University
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, genuine curiosity about leadership and organizations, and a collaborative spirit. Specifically, the ideal candidate has: A strong background in artificial intelligence, machine learning, computational
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this project include intraoral catheter fluid delivery, video monitoring of facial responses (i.e., gapes), operant conditioning (Med Associates), telemetry for anterior digastric muscle activation (DSI, Harvard
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, in collaboration with faculty and research staff at NCEMS, will conduct original research applying machine learning, artificial intelligence, computer science, statistical learning, or related
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SPECIFICS Postdoctoral Scholar (Computational Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State University (ncems.psu.edu ) seeks an outstanding
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research involving quantitative, computational, theoretical, or data-driven approaches in molecular and cellular biology. Research may involve protein structure and function, molecular interactions
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Pennsylvania State University is seeking a Postdoctoral Scholar to perform research under the direction of Professor Aman Haque (Mechanical Engineering
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seeking applications for a Postdoctoral Researcher position in the field of computational land surface hydrology, with a focus on Foundation AI model pretraining and finetuning, geospatial data processing
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workshops. Applicants must have completed all requirements for a Ph.D. in a relevant field (e.g. atmospheric science, oceanography, geography, geosciences, statistics, applied math, engineering, computer
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multiple years of renewal based upon mutual agreement. Requirements A PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, Data Science, Molecular Biology, or a closely related field is
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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer