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: Education: PhD or PsyD in Clinical or Counseling Psychology, or completion of all degree requirements, including a one-year full-time internship from an APA-accredited program. All degree requirements
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://biophysics.chem.udel.edu ) and the computational core of the Pittsburgh Center for HIV Protein Interactions (https://www.hivppi.pitt.edu/ ). The U.S. National Institutes of Health-funded projects are focused on the design
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that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers
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, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and scientists with unparalleled
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centers and institutes that focus on cancer treatment and research, neuroscience, clinical and translational research, advanced biotechnology and medicine, environmental and occupational health, and health
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or similar programming languages). A basic knowledges and deep interest in neuroscience are required. Preference will be given to candidates with experience in in vivo neurophysiology and/or computational data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
fellow to participate in his inflammatory bowel diseases (IBD)-focused computational genomics research program, part of a collaboration with Dr. Shehzad Shiekh, MD, PhD, faculty in the Division
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, other duties may be assigned. Minimum Requirements Qualified candidates must have a PhD in Immunology, Microbiology, Neuroscience, or a related field by the appointment start date. For additional
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experimentalists and theorists. Essential Duties and Responsibilities: • Perform Resonant Inelastic X-Ray Scattering synchrotron experiments in the LCLS-II qRIXS Early Science program • Perform photo-luminescence
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) in the department and in the Great Plains IDeA-CTR network, and growing institutional strengths in AI, machine learning and clinical informatics. This is a unique opportunity to translate and expand