-
) to develop computational methods and also collaborate with other groups in quantitative genomics areas in and outside Duke University. Preferred qualifications: PhD (completed in the last 1-3 years or PhD
-
herein. Education Work requires a PhD o r MD degree or equivalent. Exp erience Work requires 2 ye ars related laboratory experience or any other equivalent combination of relevant education and/or
-
progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards of responsible conduct in
-
. 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
-
supportive environment to join our team. A PhD degree is required with training in neuroscience, human physiology, psychology, pharmacology, and/or a related field. Experience with imaging (MRI / fMRI or other
-
departments and contribute to interdisciplinary research initiatives. Preferred Qualifications: • PhD in Neuroscience, Biophysics, Pharmacology, or a related field. • Solid background in mouse modeling
-
channel-count micro-ECoG arrays (up to 1000 channels, ~ 1 mm spacing) in collaboration with other labs. The ideal candidate will have a PhD in Neuroscience, Engineering, Psychology, or a related field
-
of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards of responsible conduct in research
-
organizations. Minimum qualifications: A PhD in computer science, math, engineering or a related field and three years of related experience in programming and software systems or an equivalent combination
-
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