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Improving the clinical success of porous orthopaedic designs – experimental and finite element study
organisational skills, and the ability to work as a team player. Proficiency in Finite Element Analysis software (e.g., Abaqus, Ansys), image processing techniques, and programming languages such as Python and
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, robotics, motion-control, fluidics, environmental-control and imaging-interface components. Developing custom prototype components using methods such as CAD, 3D printing, machining, fabrication and rapid
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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, utilising mathematical modelling, phylogenetic comparative methods, conceptual and philosophical synthesis, and a variety of computational approaches to understand the evolution of developmental processes
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 2 months ago
London (UCL), UK Teaching language English Languages Courses are held in English (100%). Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application periods
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. My lab has discovered novel patterns of nuclear RNA around mitotic chromosomes (see image below) and we’ve also discovered major global effects of RNA on mitotic chromosomes that have never been
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, several deep learning studies using Haematoxylin and Eosin (H&E) images have demonstrated that the spatial organisation of stromal and immune cell populations within the TME are relevant to tumour evolution
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electron microscope and the Leica THUNDER Imager EM cryo-CLEM microscope. This technology allows us to target events that happen deep in the cell so we can see more of the context of virions, including
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health and disease Supervisor: Ilan Davis Project description: Synaptic plasticity is the key molecular process that regulates memory and learning. Plasticity requires mRNA localisation and translational
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will utilize advanced timelapse imaging, next-generation sequencing, and predictive modelling to define the immediate molecular consequences of light and temperature signals. One crucial component of