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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD
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collaborative research hub. Examples of the practical impact of recently published original science in our lab is available at www.goshualab.com . Qualifications Minimum qualifications (#1-4): 1. PhD or MD-PhD
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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professional support. Skills and Qualifications Doctorate (PhD or EdD) in psychology, education, or a related field Specialization or demonstrated interest in developmental psychology, adolescent development
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targeting serious mental illness and its etiology. A doctoral degree in clinical or counseling psychology is required (PhD or PsyD). Ideal candidates must have a strong interest in psychosis and a record of
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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
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strategic vision by identifying new research projects and partners and applying for additional sources of funding in partnership with research team. Basic Qualifications: PhD in economics, public policy
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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD
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are invited for a Postdoctoral Associate specialised in Computational Biology to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center
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projects, we have access to large datasets including the Million Veteran Program and the Psychiatric Genomics Consortium. The ideal candidate should hold an MD or PhD, and have a strong background in human