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. If interested, submit your application and include a cover letter and 3 reference letters. Qualifications: Education: PhD in Engineering, Physics, or similar discipline Experience: Published experience in
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in preparation for a full time academic or research career. Associates will be co-mentored by PhD faculty with extensive technical experience with machine learning and deep learning. Lab website:https
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. Projects in the lab focus on understanding how neurobiological networks for motivation are regulated and how these networks, in turn, optimize learning. As the neural systems studied are the targets of many
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. Description of research, communication and supervisory activities: The successful candidate will have the demonstrated ability to perform, or be willing to learn, the following tasks in a BSL-2 (biosafety level
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bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods
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treatment grant (PI: Andrada D. Neacsiu, PhD). This is a 2-year appointment, with the second-year contingent on renewal and with the possibility of extension to a third year. This postdoctoral fellow will be
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. The Postdoctoral Appointee holds a PhD. (or PhD. candidate) or Knowledge, Skills, and Abilities. University. research requirements or other equivalent doctorate Ph.D. in life science (e.g.biochemistry, biophysics
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://globalhealth.duke.edu/global-mental-health-center . Doctoral or terminal degree (PhD, ScD, DrPH, MD) in relevant field, including but not limited to: Psychology, Nursing, Medicine, Global Health, Public Health, Health
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Bayesian modeling and machine learning using large longitudinal biomedical data, including electronic health records and mobile health data. The position will be funded by Samuel I. Berchuck, PhD who holds
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unique perioperative CSF samples from our MARBLE trial-see PMID 32417770). This is an excellent opportunity for anyone whose PhD work (or master's degree or other recent work) included proteomics analysis