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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis
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establishing a strong academic track record. You may have worked in MRI research previously or have strong computational / AI / machine learning skills used in other areas of research. Essential criteria PhD
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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providing interdisciplinary neuroscience training and professional development. Where to apply Website https://www.academictransfer.com/en/jobs/357256/phd-student-biotype-based-perso… Requirements Specific
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worked in MRI research previously or have strong computational / AI / machine learning skills used in other areas of research. Essential criteria PhD qualified in relevant subject area Ability to work as
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biomedical engineering, MRI physics, and related areas. - Mentor students at all levels, from undergraduate to PhD. - Contribute to departmental and university service. Qualifications: - A PhD in Biomedical
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to funcional changes in mice, such as behavioural modulation and brain network activity by MRI. The candidate will use state-of-the-art optical tools: in vitro calcium imaging, in vivo fiber photometry
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Are you a Postdoctoral Researcher with experience in transcranial ultrasound stimulation and MRI, interested in studying human pain circuits? About the role The role of Postdoctoral Research Fellow
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on quantitative phenotyping via generative modelling of quantitative MRI data. This exciting PhD position combines advanced machine learning with medical imaging physics to develop next-generation tools
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spoken and written English You have experience and interest in: Diagnostic Imaging (CT, MRI and Ultrasound Techniques) Mamma Radiology To Apply: Please send your CV mentioning reference ML-150 at info@phd