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. This position is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field
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teamwork and discussion and help to train, supervise and mentor junior staff as needed. Minimum qualifications include: PhD in a relevant field (biology, immunology, cancer biology or similar) Demonstrated
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data-driven knowledge to the development of next-generation regenerative therapeutics. Our group is a multidisciplinary lab at Yale within the Department of Anesthesiology, the Vascular Biology
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independently and collaboratively, desiring to develop and/or adapt novel approaches in biochemistry, molecules and genetics, and PhD in Neuroscience and related disciplines. However, auditory and hearing
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, genetic and neuroimaging data to identify new biological mechanisms and develop precision medicine tools for these conditions. We have a track record of training outstanding postdocs who go on to successful
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES
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at international conferences. For more information visit our lab webpage: https://www.thealonlab.org Qualifications: Candidates must have a PhD degree or equivalent in biological sciences with not more than 1 year
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development reviews, leadership and entrepreneurship training, collaborative training opportunities, and networking and conferences. Qualifications: PhD in Molecular Biology, RNA Biology, Biophysics, or a
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Job Title Postdoctoral Associate in Social Data Science Job Description Join the Digital Ethics Center (DEC) at Yale University and contribute to advanced and innovative research on the human
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.” Pilot data collection will harness varying methodologies ranging from ecological momentary assessment (EMA) and behavioral measures to neuroimaging and psychophysiology among suicidal youth and their