65 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Yale University
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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
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, Bioimaging Sciences Position Description: Join an exciting effort to develop a low-field, low-cost, MRI scanner for screening mammography. You will participate in the development of MRI reconstruction
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POSTDOCTORAL POSITION, RAREDON LABORATORY, 2025-2027 T32 Training Fellowship Yale School of Medicine Department of Anesthesiology Vascular Biology & Therapeutics Program in Translational Biomedicine
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The Israelow lab (https://medicine.yale.edu/profile/benjamin_goldman-israelow/) is seeking a motivated postdoc interested in studying mucosal immunity and mucosal vaccines, and novel vaccine
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, microvascular function, cognition, or COVID-19. Candidates with advanced quantitative data analytic skills, including computational modeling, are particularly encouraged to apply. Familiarity with medical
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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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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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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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leukemias and lymphomas. The candidate should have a strong background in biology, biochemistry, cell biology, virology, or chemistry, with a major interest in immunology and cancer biology research and be
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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