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Lecturer/Assistant Professor/Associate Professor - Abdominal Imaging - Joint Dept of Medical Imaging
imaging. JDMI operates an install base of 15 CT and 12 MRI scanners (including dedicated research scanners), 12 X-ray and 40 ultrasound units, two PET-CT scanners, and one PET MRI scanner. Abdominal
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Lecturer/Assistant Professor/Associate Professor - Abdominal Imaging - Joint Dept of Medical Imaging
imaging. JDMI operates an install base of 15 CT and 12 MRI scanners (including dedicated research scanners), 12 X-ray and 40 ultrasound units, two PET-CT scanners, and one PET MRI scanner. Abdominal
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use of state-of-the-art neuroscience tools, including rodent cognitive tasks (via Bussey-Saksida chambers ), confocal microscopes, and positron emission tomography (PET) scan acquisition, processing
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. Posted Job Title Research Specialist C Job Profile Title Research Specialist C Job Description Summary PET Center in the Radiology Department at PSOM directed by the Associate Professor Mark Sellmyer, MD
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) Employee Discounts <b>Pet</b> Insurance LEARN MORE About our radiology department: <b>https</b>://www.portermedical.org/departments-and-programs/radiology/ About the UVM Health Network: <b>https</b>://www.uvmhealth.org/about-uvm-health-network About Middlebury, VT:...
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, please see: https://medicine.uiowa.edu/radiology/ To apply: Please see requisition #75982 at http://jobs.uiowa.edu/jobSearch/index.php Successful candidates will be required to self-disclose any
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missions of the Department are to educate veterinary students and graduate veterinarians to meet the needs of the pet owning public, to provide advanced patient care, and to generate new knowledge in
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analysis of relevant neuroimaging data (e.g. PET, MRI, EEG, MEG) Experience of working with patients with psychosis in research or other relevant settings Knowledge of drug treatments in psychosis
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members Additional voluntary benefits including accident, critical illness, identity protection, and pet insurance options Job Description: The Nurse Manager has the authority, responsibility, and
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, machine learning applications, and analyses of individual disease trajectories. Your tasks will include: Integrate multimodal neuroimaging datasets from MRI, PET, EEG, and fNIRS studies Characterize brain