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appointment is 1 year with an expected renewal for a 2nd year based on mutual agreement. Appointment Start Date: Oct 1, 2025 Group or Departmental Website: https://profiles.stanford.edu/andreas-loening (link is
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#CA-DK#48XClinsupport Under the direction of a qualified physician, the MRI technologist will operate a variety of equipment, including a high field strength magnet, RF transmitter, RF receiver and
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Clinic. Schedules and reschedules Xrays, Ultrasounds, CTs, MRIs, PET/CTs, and ECHOs at Boston Children?s Hospital. Coordinates multiple specialty visits at Boston Children?s Hospital with appropriate
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Posting Summary Logo Posting Number RTF00284PO25 USC Market Title Assistant Scientist Link to USC Market Title https://uscjobs.sc.edu/titles/156373 Business Title (Internal Title) Assistant
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Every 6 weeks Equipment is state-of-the-art and includes 2- 3T Siemens MRI scanners and 3 - 1.5T Siemens MRI scanners. 1.5 and 3T GE MRI Scanners. Additional 3T and 7T Siemens MRI scanners are at our new
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provides supporting patient care to patients that undergo an MRI exam within Michigan Medicine Provide routine paramedical, clerical & technical assistance related to MRI procedures including Reviewing
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MRI / CT via hospital network or CD media, loading archived data onto the image guided platform and follows all safety standards Assist in building the 3-D models from the patient scans, including areas
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work with amazing partners, including other Harvard Medical School-affiliated hospitals. Connections working at Dana-Farber Cancer Institute More Jobs from This Employer https://main.hercjobs.org/jobs
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work under the supervision of Prof. Stam Sotiropoulos and Prof. Markus Kaiser and their established teams (https://conilab.nottingham.ac.uk https://www.dynamic-connectome.org/ ) in using brain MRI and
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | about 1 month ago
and spectroscopy techniques using non-invasive Magnetic Resonance (MR) methodologies. A new research project, “Visualization of Brain Metabolic Networks Using Multi-Nuclear MRS with Ultra-High Field MRI