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imaging inside human long bones (https://doi.org/10.1007/978-3-030-91979-5_10). For optimal imaging inside bone, one must consider the challenging 3D wave physics imposed by bone tissue: wave refraction
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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Molecular Genetics at the University of Colorado School of Medicine. We study how cells detect and degrade aberrant RNAs, and how dysregulation of this surveillance process contributes to human disease
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de neuromelanina y factores de susceptibilidad a la enfermedad de parkinson: rol en el inicio y progresión de la enfermedad” Where to apply Website https://jobs.vhir.org/jobs/6941521-phd-researcher
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lab. In addition, you will assist in training new researchers within the research group. You will provide support in processing data generated from 3D motion capture techniques and medical imaging. You
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science » Computer systems Medical sciences » Other Physics » Optics Architecture » Other Researcher Profile Leading Researcher (R4) Positions PhD Positions Country Spain Application Deadline 21 Jan 2026 - 23:59
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the mechanisms of neurovascular coupling (NVC) in the human retina — a key physiological process whose early dysfunction is linked to Alzheimer's disease. The team has developed a new cellular-resolution imaging
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execution Seamless transition from prototype to production-deployed AI systems Basic Qualifications: PhD (or MS + 2 yrs / BS + 4 yrs equivalent experience) in Bioinformatics, Cheminformatics, Computer Science
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Gif sur Yvette, le de France | France | 6 days ago
current imaging techniques and clinical methods have significantly improved patient management, they are most often applied once the disease is already established and remain constrained by
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double