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behavioural priorities (unpublished work). Using Drosophila melanogaster, we combine quantitative behavioural paradigms with neural circuit mapping, advanced genetics, two-photon functional imaging, and
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Training for Next Generation Scientists in Spatio-Temporal Imaging of Plant Cells, www.msca-agile.eu) a new interdisciplinary Marie Sklodowska-Curie Doctoral Training Programme. The individual will be
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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/ Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles
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specialist mass spectrometry instrumentation, including high-resolution Orbitrap platforms (QExactive, Fusion Lumos), triple quadrupole LC-MS/MS systems, and surface and imaging MS technologies (e.g. AP-MALDI
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gigantism and address existing hypotheses for its evolution. To accomplish this, you will collect a large CT image dataset of extant and fossil mammals and carry out morphometric and biomechanical analyses
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to the POSSEM trial, using photon-counting coronary CT angiography, advanced imaging, and computational modelling to identify patients at risk of accelerated coronary artery disease and enable more personalised
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efficiency, durability, and ease of installation. Your work will include the development of advanced numerical models of the transition system, alongside the testing of a scaled prototype structure to
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radiopharmaceuticals for positron emission tomography (PET) imaging at the Department of Chemistry . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career-promoting work (e.g
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of installation. Your work will include the development of advanced numerical models of the transition system, alongside the testing of a scaled prototype structure to demonstrate proof of concept. You will lead