56 assistant-professor-and-data-visualization Postdoctoral positions at Yale University
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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of recommendation to be emailed to Prof. John Sous (Email: john.sous@yale.edu). Review of applicants will begin immediately and will continue until the position is filled. For further information about the position
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discrimination in educational programs and activities at institutions that receive federal financial assistance. Questions regarding Title IX may be referred to the University’s Title IX Coordinator, at TitleIX
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES
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the context of our current research and publications * contact information for three references. Please also view details about Yale Postdoc Compensation and Postdoctoral Associates Benefits 2025.
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their CV and names of three references to: Professor Elias Lolis Department of Pharmacology Yale University School of Medicine 333 Cedar Street New Haven, CT 06520-8066 elias.lolis@yale.edu
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. Research Assistance: Develop criteria for study subject admission and manage multi-site studies. Support ongoing clinical studies with clinical assessments, data entry, and follow-ups. Document and transmit
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teamwork and discussion and help to train, supervise and mentor junior staff as needed. Minimum qualifications include: PhD in a relevant field (biology, immunology, cancer biology or similar) Demonstrated
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data
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doctoral degree in epidemiology, biostatistics, computer science, engineering, environmental health sciences, social and behavioral sciences, health policy, medicine, or other areas in life or data sciences