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Field
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‑quality diagnostic services across UCDH. POSITION INFORMATION Salary or Pay Range: $60.33 - $78.07 Salary Frequency: Hourly Salary Grade: 310 UC Job Title: NEURO TCHNO SR UC Job Code: 004617 Number
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and general neurology. Key Responsibilities: The duties and responsibilities of the position include, but are not limited to: • 4-10 weeks of Neuro-Hospitalist service • 4-10 weeks of Neuro Critical
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programme. This role offers an exciting opportunity to contribute to cutting-edge work at the interface of neuro-oncology, nanomedicine, and translational cancer research, within a programme with clear
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schizophrenia (NEUROmetabolic mechanisms of COGnitive training in Schizophrenia; NEURO-COGS). The study focuses on assessing brain metabolism and Excitation:Inhibition balance, which are dysregulated in
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focuses on combining these two types of systems, in close collaboration with industry. Research into this kind of neuro-symbolic AI is growing, but before it can be applied in industry, many obstacles
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, ocular tumors, oculoplastic and orbital surgery, neuro-ophthalmology, contact lenses, low vision and electrophysiology. We are a multi-specialty academic practice with a robust clinical volume. About UF
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& Behavior Research Foundation, Indiana Spinal Cord & Brain Injury Research Fund, etc. There are 3 major directions actively pursued, e.g., (1) neuro-substrates mediating long-term persistence of cocaine
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Stanford University, School of Medicine- Department of Ophthalmology | Palo Alto, California | United States | about 2 months ago
of ophthalmology as well as the following sub-specialty areas: Glaucoma, Uveitis, Neuro-Ophthalmology, Retina/Vitreoretina, Pediatrics, Oculoplastics, Cornea, and Optometry to join the Department as Assistant
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Metabolism Group or Departmental Website: http://wenfei.org(link is external) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field
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-career researcher to help shape a focused and growing research programme at the interface of artificial intelligence, medical image analysis, and clinical neuro-oncology. The project is motivated by real