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Yale’s Institute for Foundations of Data Science (FDS) is seeking applications for postdoctoral positions in Data Science. These will be generously supported postdoctoral positions, expected to last
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for curious, ambitious, collaborative scientists who enjoy asking difficult biological questions. Applicants from diverse scientific and engineering backgrounds are encouraged to apply, including and not
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. The lab’s most recent publications appear in Molecular Cell and Cancer Discovery, and mentees have gone on to success in both academic and industry careers. Qualifications: Qualified applicants will have a
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application of unique mouse models for in vivo pathway discovery and validation. Experience or interest in flow cytometric analyses, and basic immunological techniques will be essential and interest in
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. Available projects relate to these efforts, although postdoctoral associates are encouraged to push beyond current efforts in the laboratory. Qualified applicants will have a Ph.D. or M.D./Ph.D. in immunology
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outstanding applicants for multiple postdoctoral openings in quantum information science and engineering. The start date is flexible. The group has broad research interests and successful candidates will have
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to work both independently and collaboratively in a fast-paced, translational environment. Application: Interested applicants should send a cover letter, CV, and contact information for three references
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. Contribute to drafting grant proposals, and where appropriate lead on proposals and fellowship applications of your own. Undertake the training, data access, and travel activities required for the role
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applications, including diabetes, obesity and metabolism. The primary funded project examines changes in the dopaminergic system in the pancreas and brain during diabetes using PET/CT and MRI. Several additional
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. Present at academic workshops and conferences to disseminate research findings. Mentor graduate and undergraduate students, if applicable, fostering a vibrant intellectual environment. Postdoctoral