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neural networks for multimodal image analysis will be essential, as well as expertise in Python and C/C++ for scientific computing, and in ML/DL frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn
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networks involved in controlling the switch between monomeric secretion and fibril formation, and characterise an endogenously-tagged collagen mouse model developed within the lab. The project will employ a
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circuit-level and neural network-level simulations. The candidate will conduct research related to emerging magnetic nanotechnologies in order to enable computing hardware for brain-inspired computing. In
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wide network to build a network of champions and advocates for change. As one of the leading Universities our employees enjoy exclusive access to excellent benefits and schemes including: Generous annual
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identify new opportunities Build a comprehensive network/database of contacts within allocated Schools/Departments in the University’s Faculty of Life Sciences and relevant research Institutes. Build a
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Area community networks, building and supporting a diverse range of research communities, encouraging inter-disciplinary working across traditional boundaries and identifying and delivering facilities
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. To use proximity biotinylation to generate an association network for the LINC complex. 2. To determine how rigidity sensing alters the composition of the LINC complex. The post is available from 1st
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of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 across the division, and plugin to our network of over 400 who work across the University in
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and students, and we are open to applications from candidates with expertise in areas beyond the current list strengths. They will have an established network of contacts in relevant fields and be
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carbon capture for a Net Zero built environment) involving several industrial partners and international collaborators. The project will focus on using incinerator bottom ash (IBA) and CO2 sequestration in