64 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Yale University
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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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a health-related area such as public health, nursing, psychology, health policy, social or behavioral sciences, or another relevant field. All requirements of the doctoral degree must be completed
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. The candidate is expected to work in theoretical condensed matter, quantum information science and related fields (e.g. correlated systems, light-matter interactions, non-equilibrium dynamics, quantum simulation
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, computer science, data science, social sciences, public policy, or a relevant interdisciplinary area. Interest in addressing the governance, ethical, legal, and societal implications (GELSI) posed by digital
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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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for a postdoc to spearhead computational projects that will develop and apply cutting-edge approaches for analyzing genetic variants in mitochondrial and nuclear genomes, and their role in disease
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at national/international conferences Access to a broad network of collaborators at Yale and beyond Qualifications We welcome applicants with backgrounds in either experimental biology, computational biology
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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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(christine.cha@yale.edu) with the subject line “Cha Lab – Research PostDOC” in the subject line. The cover letter should include a description of interdisciplinary fit with youth suicide research and ideal
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Postdoctoral position in AI for protein design with applications to TCR & BCR models The lab of Prof. María Rodríguez Martínez at the Department of Biomedical Informatics & Data Science, Yale School