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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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A competition-funded PhD studentship is available in the School of Chemistry at the University of Birmingham to develop and apply nuclear magnetic resonance spectroscopy and imaging to advance
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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
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their surroundings? Are you interested in delving into the mechanisms of signal integration in plants on a cellular level and have a passion for molecular biology and bio-imaging? Then this job may be for you! We
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larvae, with their translucency, provide a powerful platform for live imaging of cell–cell interactions at subcellular resolution. Using lineage-specific fluorescent reporter fish, we have observed close
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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supporting international policy goals for deep-sea biodiversity protection. Research methodology This project will combine seafloor visual survey, targeted sampling and AI-assisted image analyses to: Define
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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Quantitative MRI is a PICNIK with Physics-Informed data Consistent Neural Implicit K-space representations. In this project, you will substantially improve quantitative magnetic resonance imaging