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and lab members is available on the laboratory website: https://www.stiteslab.org/ Interested candidates should send contact Ed Stites, MD, PhD at research@stiteslab.org and (1) provide a current CV, (2
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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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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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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
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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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. 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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colleagues and the scientific literature * build a long-term academic career. To join the Groisman Lab, please send only to this e-mail: * CV * cover letter presenting your scientific interests within
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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projects, there are ample opportunities to tailor the needs of the lab to the skillset and interests of the individual. Candidates with MD, PhD, or MD/PhD degrees and experience in a variety of molecular
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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