135 computer-science Postdoctoral positions at Pennsylvania State University in Ireland-University-Ranking-2024
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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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, and virome dynamics in agricultural and forest ecosystems. The successful candidate will develop and apply molecular, genomic, and computational approaches to investigate virus epidemiology, emergence
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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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SPECIFICS A postdoctoral position is available in the laboratory of Shin Mineishi, MD, Professor and Director Bone and Marrow Transplant Program, Penn State Hershey Medical Center, Penn State College
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SPECIFICS The Hamilton Lab (http://jillahamilton.com/index.html ) at The Pennsylvania State University is seeking to hire a Postdoctoral Scholar to contribute to funded research program aimed at studying
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, biology, microbiology, or other related field. Applicants are required to have a Ph.D. or equivalent doctorate in an appropriate field and be able to provide evidence that all requirements have been met
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training in genomics and computational approaches. Education and Experience Applicants should hold a PhD in neuroscience, genetics, psychology, biology, or a related field, with demonstrated expertise in
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quantitative and analytical skills. Experience working with large publicly available datasets—such as, but not limited to, the Health and Retirement Study (HRS), All of Us Research Program, Adolescent Brain
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, mucosal and epithelial biology, host–pathogen interactions, aging, and related areas. Take responsibility for advancing assigned projects from experimental planning through data generation, analysis
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development Identify, evaluate, and implement cutting-edge methodologies (e.g., single-cell sequencing, spatial transcriptomics, CRISPR screens, PDX/organoid models) relevant to pediatric cancer biology