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found on our web page, fds.yale.edu. Yale’s Data Science Initiative has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary
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(SUDs), psychiatric conditions, and other behavioral and lifestyle characteristics that impact human health using large datasets and biobanks including the Million Veteran Program (MVP), the SUD working
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program of training will also include both attendance at departmental workshops and seminars. They will present their results at weekly Fredericks Lab meetings, join in our weekly journal club, and be
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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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biomedical engineering, computer science, electrical engineering, biomedical informatics, or related fields. Demonstrated experience in developing deep learning algorithms and training models on medical
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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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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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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
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: ● Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills