127 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Bristol
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on a high-volume payroll using attention to detail and excellent numerical skills. You can work methodically and are able to plan and prioritise a busy workload with strict deadlines Using logical
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An exciting Research Fellow position is available at the Bristol Interaction Group (BIG), University of Bristol, a leader in Human-Computer Interaction (HCI) and accessibility research. This role is
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develop AI-driven methods for optimising disease surveillance and intervention strategies in dynamic, real-world settings. We will design an active disease surveillance and control framework based on a
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multi-dimensional niche models, and applying advanced Bayesian spatio-temporal methods. You will: Build n-dimensional abiotic niches for >6,700 species and estimate population positions within them
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Welsh colleagues and veterinarians using a range of technical methods to collect data and evaluate antimicrobial use and resistance and their drivers on farms in Wales. Act as a key point of contact
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)biogenic methods Stabilisation, functionalisation, and scale up of biogeobatteries Testing reactivity towards pollutants relevant for water treatment. Using Moessbauer spectroscopy, FTIR, electron microscopy
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methods including wiro-binding, comb binding, soft-binding, hard-binding, perfect-binding, saddle-stitching and others Using other print-finishing equipment such as laminators, guillotines, creasers as
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We are seeking to appoint a Senior Research Associatewith experience of mixed methods research, guideline development and/or applied health research and the evaluation of healthcare interventions
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and sustainable funding. The post holder will work alongside the Impact Alliance, including it’s ‘Understanding Impact’ sub-group, six ‘enabling organisations,’ and programme delivery ‘change maker
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networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is essential, as is experience with Bayesian