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Field
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collaborative culture. The Division of Pain Medicine is at the forefront of innovation in pain research, education, and patient care. Our postdoctoral program has successfully transitioned fellows
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discussions for other timelines are possible. Qualifications: PhD in a broadly related field (e.g., cognitive science, computer science, psychology, learning sciences, linguistics, speech-language-hearing
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Biochemistry and Molecular Biology, Physiology, Neuroscience, Ecology, Environmental Science, Plant Biology, and Organismal-environment interactions. We offer bachelor’s degrees in biology, Biochemistry, Ecology
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qualifications must be documented on application materials. Required Qualifications PhD in neuroscience, psychology, cognitive science, or a related field. Strong experience in neuroimaging data acquisition
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Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology. Mathematical techniques include qualitative and numerical analysis
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, critical, and creative individual to join our team. The successful candidate: Holds a PhD in neuroscience Has at least one first-author research publication in a peer-reviewed international journal Has
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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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, neuroscience, physiology, physics, or computer science · Be a proficient programmer and experience in Python, MATLAB, NEURON, COMSOL, and / or git are assets · Be familiar with neural biophysics and
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understanding, diagnosis, and treatment of epilepsy and status epilepticus through interdisciplinary collaboration across departments, including Neuroscience, Immunology, Neurosurgery, Psychology, Psychiatry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
neurological disorders and injuries. The lab uses high-density neurophysiology (Neuropixels), high-density spinal stimulation, brain-spine interfaces, computational modeling, computational systems neuroscience