522 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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of the developed drug delivery system. The results of this project may lead to the identification of a novel drug delivery system to treat sarcoma using photodynamic therapy. Further information: This three-year
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physics-based and data-driven methods to support the design and scale-up of these systems. This approach will reduce the need for costly experiments, improve scale-up predictions, and provide confidence
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Decision support systems assist decision makers in instances when information available for decision making is vast and beyond human information processing capabilities. The Video Assistant Referee
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Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian
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turbomachinery design is increasingly the primary bottleneck. Within the next decade, this workflow will be largely replaced by data-driven inverse design models, enabled by the growing availability of high
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
folding simulations with mass spectrometry experimental data, creating a unique multi-stranded methodology to map out free energy landscapes associated with protein folding in environments spanning gas