Postdoctoral Research Scholar in Machine Learning and Computational Genomics
Department of Epidemiology, School of Public Health, University of Pittsburgh The Department of Epidemiology at the University of Pittsburgh is seeking a highly motivated postdoctoral research scholar to join the lab of Dr. Seyoung Kim. The successful candidate will contribute to cutting-edge research at the intersection of machine learning, computational genomics, and statistical genetics. The candidate will be in a highly collaborative environment at the intersection of population neuroscience and genetic epidemiology in the department and across the university and join a cross-institutional research team focused on neuroscience, aging, and -omics data analysis. Responsibilities Qualifications
The postdoctoral scholar will be part of a rich collaborative environment with excellence in the areas of public health informatics in the School of Public Health and the School of Medicine at the University of Pittsburgh. The postdoctoral scholar will have opportunities to participate in career development activities through the department, school, and university, including those at the Office of Academic Career Development that are available virtually, to develop research ideas suitable for funding, including a career development award (K01 or K99/R00), depending on the postdoctoral scholar's interest and goals.
To apply, please submit your CV, a cover letter, and a list of three references with their contact information. Please apply through requisition #25005182 through join.pitt.edu. GSPH-Epidemiology Assignment Category Full-time regular Campus Pittsburgh Child Protection Clearances Not Applicable Required Attachments Cover Letter, Curriculum Vitae...Position Summary... What you'll do... The Senior Manager is central to building a modern, fit-for-purpose biostatistics and epidemiologic function within WHRI. You will provide strategic input on study design, lead cross-functional collaboration, and ensure...
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