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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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image processing, registration and analysis and a long-term interest to work in the health care sector. If you are interested in this position please contact: Dr. Allison Payne: allison.payne@hsc.utah.edu
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Scheduled Hours 40 Position Summary Responsible for designing, building, and testing novel imaging technologies. Will do computational modeling to select appropriate components, will design hardware
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/Administrative Internal Number: JR89833 Scheduled Hours 40 Position Summary Responsible for designing, building, and testing novel imaging technologies. Will do computational modeling to select appropriate
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Ultrasound (UDUS) Research Group and the Michigan Institute for Imaging Technology and Translation (MIITT) at the University of Michigan. Our team is positioned at the interface of ultrasound (US) and magnetic
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at the University of Sydney, under the guidance of Node Leader Dr Samuel C Boone, AuScope and the School of Geosciences is jointly funding a 4-year Postdoctoral Research Associate position to spearhead the new node’s
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. Ophthalmology, U of S), Dr. Melody Wong (Dept. Ophthalmology, U of S), (Dr. Kerry Bishop (Optometrist, private practice) and Dr. Francisco Cayabyab (Dept. Surgery, U of S) are looking to recruit a talented and
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/1 of 4 May 2016) I consent to the processing of personal data other than: first name, (first names) and surname; parents' first names; date of birth; place of residence (mailing address); education
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) Positions PhD Positions Country Croatia Application Deadline 22 Sep 2025 - 23:59 (Europe/Brussels) Type of Contract Permanent Job Status Full-time Hours Per Week 8 Offer Starting Date 22 Aug 2025 Is the job
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning