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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
PhD/PsyD Psychology, Developmental Behavioral Pediatrics Appointment Type Fixed Term Faculty Vacancy ID FAC0005222 Full-time/Part-time Full-Time Permanent Hours per week 40 FTE 1 Position Location North
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. At NREL, you’ll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national
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directly with the PI on applying interdisciplinary neuroscience and electrophysiology techniques toward studying the nervous system of the heart. Qualifications: Education 5 years or less from a PhD or MD
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
, methods. (10%) Helping out with mapping group activities. (10%) Minimum Acceptable Education & Experience PhD Required Licenses & Certifications: Boating license, SCUBA certification Required Knowledge
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background in immunology, flow cytometry, as well as experience in rodent models. The selected candidate will be expected to work independently while interacting in a collaborative environment. Education
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pain), with a focus on with a focus on ion channels, neural circuits, and neuromodulation. Candidate must have completed the requirements for the PhD degree or equivalent in Neuroscience related fields
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trading is key, a background in finance is definitely not. Our team is built mostly from academia — professors, postdocs, and PhDs — not from other trading firms. We seek mental diversity and add a select
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demonstrate excellence in teaching and mentoring students at all levels including those in our DDS/PhD program. The candidate will collaborate closely with the Data Science Institute. A successful candidate
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around the world to understand the impacts of new mobility, urban delivery, and autonomous vehicles on the built environment. Going beyond these emerging technologies, we explore the possible implications