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Engineer II. This position assists with brain image and brain metabolic profile from clinical trials data involving Parkinson’s, Alzheimer’s and repetitive head injury patients. Assists with the development
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mathematical modeling; fundamental understanding of fluid mechanics and soft matter physics; good quantitative skills and strong analytical capabilities; proven experience with experimental image and data
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electronic devices The project will include three secondments: University of Bern (Switzerland) – advanced in-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping
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Regular Job Code 8208A2 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Work Arrangement: The position is hybrid and expected to work on-site 50% of the time. Your work
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 8 hours ago
Dartmouth APPROPRIATION OR AGENCY CODE: 7310-0000 SALARY: 15 GENERAL STATEMENT OF DUTIES AND RESPONSIBILITIES: Perform functions of the application process according to standard, established procedures
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of Interest Areas of Interest Academic/Research Cancer Corporate Faculty/Physicians Imaging and Radiology IT Marina del Rey Medical Network New-Grad Nursing Nursing Pathology and Lab Pharmacy Job Seeker
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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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). Tests wiring connections and circuits with test equipment like volt/amp/ohmmeters, oscilloscopes, thermal imagers and scanning devices. Assist in performing preventive maintenance on elevators and
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Department's Website: https://uamshealth.com/location/neighborhood-capitol-mall/ Summary of Job Duties: The Diagnostic Radiology Technologist produces radiographic images for medical interpretation, interacts
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embedded in the School of Biomedical Engineering & Imaging Sciences, a vibrant community of engineering designing and translating technology into the clinical. The project will follow the King’s College