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Field
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AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
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Background As a member of the Birmingham Photoacoustic Group, founded by Dr James Guggenheim in 2021, the postholder will focus on developing photoacoustic imaging systems based on highly sensitive Fabry-Perot
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2025 Background To create and contribute to the creation of knowledge in the area of photoacoustic imaging using Fabry-Perot ultrasound sensors, by undertaking a specified range of activities within
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Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two
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such that their genotypes mimic genetic variants associated with BD. We will study these circuits by immunocytochemistry, electrophysiology and live cells imaging. The aim of the projects is to approximate cellular
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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). Experience in high content imaging and experience in working with cell cultures of neurons and glia would be desirable. Diversity Committed to equality and valuing diversity Application Process You will be
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& Medicine. Department: Res Dept of Early Life Imaging. Contact details:Chiara Nosarti. Chiara.nosarti@kcl.ac.uk Location: St Thomas Hospital and IoPPN. Category: Research. About Us We are part of