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have a PhD or should be a 2025-degree candidate, and they need to have documentation of degree completion by the time they start. Application Instructions Applicants should submit a cover letter, a short
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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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, with PyTorch and/or other GPU programming tools is also necessary. You should have completed all requirements for your PhD by the time you are hired. How to Apply: Candidates who have most, but not all
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author original science at the intersection of health decision science, pharmacoepidemiology, and clinical oncology and hematology, (2) mentor talented trainees (students, residents, and clinical fellows
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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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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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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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, contribute to the lab through teamwork and discussion and help to train, supervise, and mentor junior trainees. Minimum qualifications include: • PhD in molecular or cell biology, immunology, cancer biology
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doctorate (PhD, or MD, or MD,PhD) degree in medicine or life sciences/biology is required. Prior experience working in animal models, animal surgery, molecular biology techniques such as cloning, cell culture
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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