88 computer-graphics-game-"https:" Postdoctoral positions at Pennsylvania State University
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SPECIFICS Dr. Mathias Martins is seeking a Postdoctoral Scholar to join his research program in the Department of Veterinary and Biomedical Sciences at Penn State. The laboratory focuses on poultry viruses
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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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, 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 statistics/biostatistics, computer
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. Develop research protocols, statistical analysis plans, graphical displays, and other study-related documents. Perform advanced statistical analyses using large epidemiologic, clinical, and administrative
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to REQ_0000057682 at https://hr.psu.edu/careers . The cover letter should be 1–2 pages describing: research interests and background why you are interested in this position career goals availability for starting
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Technology, Human-Computer Interaction, or a closely related field Demonstrated experience conducting empirical research in educational or community settings Strong writing, collaboration, and project
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and disease (https://sites.psu.edu/nighot/ ). The lab is especially interested in the role of defective intestinal tight junction (TJ) barrier in inflammatory bowel disease (IBD), including Crohn’s
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linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess associations between microbial composition, oral
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- Requirements include a Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date. Prior background in machine learning, digital twins and electronic design
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Learning, or a directly related field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research experiences