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through the vessels and how diseases like heart blockages or artery wall damage develop. However, most current computer models used to study blood flow treat arteries as if they are rigid and motionless
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programme. This role is an excellent opportunity for an energetic, proactive and collaborative individual who is passionate about the many ways in which the arts and humanities can benefit the lives
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UK and international institutions contribute to an excellent environment for top quality research. We lead QuantIC , the UK's four Quantum Technology Hub We host two EPSRC Centres for Doctoral Training
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are looking to appoint a Programme Manager to join Dr Heathcote’s team within the Health Psychology Group, Department of Psychology at King’s College London. We are seeking a proactive and organized Programme
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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interactions, supporting the design of next-generation antimicrobial materials. The role will involve performing molecular dynamics simulations and computational modelling to investigate interactions between
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-high-Q microresonators Exploration of novel device concepts with potential impact on optical signal processing, quantum technologies, and next-generation communication systems Why Join Us? Work at the
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: The university supports staff maintaining a good work/life balance, offer flexible working and parental leave opportunities, an Employee Assistance Programme which provides free, confidential advice on both home
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following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics
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of high-energy theory, string theory, and modern mathematics, offering opportunities for both analytical and computational research within a vibrant international collaboration network. Please note: due to