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of Genomic Health and Department of Genetics. Our lab uses computational and experimental methods to understand how human genetic variation underlies health and disease, across rare and common phenotypes, with
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where it would be cost-effective to screen and (iii) incorporating multi-omics data to better identify at-risk individuals beyond lifestyle and environmental approaches alone. Our research program has
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School of Medicine. We develop and apply innovative experimental and computational approaches to study cellular heterogeneity and its impact on tissue function in health and disease. Our interdisciplinary
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in preclinical PET/CT or PET/MR imaging and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational
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with the (computational) PI. The experimental/computational collaboration was very productive (McFall T et al, Science Signaling, 2019; McFall T et al, Cell Reports, 2021; McFall T et al, npj Precision
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. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences
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high impact careers in biomedical research. This is an opportunity for a highly motivated individual with a background in population genetics, computational biology, or a related area. Candidates with
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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in
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universities. We draw upon economics, political science, and related fields to conduct cutting-edge research to understand how policy can promote inclusive, accountable economies and societies. Our core research
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for up to four Postdoctoral Associates for an appointment period from July 1st, 2025 – June 30th, 2027. Inaugurated in the 1999-2000 academic year, the Postdoctoral Associates Program at the Council