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well as AI-driven approaches for treatment outcome prediction and clinical decision-making. Projects involve multimodality imaging data, including CT, MRI, PET, and Ultrasound, as well as clinical radiation
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within a multidisciplinary team and mentor junior trainees. Requirements PhD (or equivalent) in psychology, neuroscience, physiology, biomedical engineering, epidemiology, statistics, or a related field
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would work as a clinical research fellow on this project and be responsible for participant screening and recruitment, clinical assessments, and performing study visits with MRI and PET scanning
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in sympathetic/parasympathetic balance; link sleep metrics to CAAN’s primary outcomes: LC structure and function (MRI), CSF and plasma biomarkers, proteomic markers of mitochondrial stress, daytime
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are looking for candidates to have the following skills and experience: Essential criteria Full GMC / NMC / other relevant body registration with valid license to practice. PhD qualified in relevant
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
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: Kent And Medway Brain Health Clinic: A Pilot Study Of Streamlined Dementia Assessment Using Blood Biomarkers, Low-field MRI And Electronic Cognitive Testing and Implementing GRACE: Goal-directed