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network attractors, funded by The Leverhulme Trust. This is a brain inspired project in the field of Neurodynamics. Networks of oscillators are ideal candidates for modelling patterns of functional
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of healthcare by examining the impact of bottom-up communities and networks promoting change. Healthcare accounts for approximately 5% of the UKs total carbon emissions, and significant activity is underway
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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’ or ‘internationally excellent’. The highly research active SP Section comprises 13 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification
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key regional partners (including the Research Delivery Network, Commercial Research Delivery Centres, local NHS trusts and Integrated Care Boards) to promote and support the uptake of the commercial
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discounts and travel schemes. Access to staff Networks, events and activities and state of the art sports facilities. A permanent post with a 20% allowance for hours worked at the weekend plus all the tools
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. Supplier discounts, travel, and reward schemes. Staff Networks, events and activities and state of the art sports facilities. A permanent post for 52 weeks of the year plus the tools you need to do a great
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discounts and travel schemes. Access to staff Networks, events and activities and state of the art sports facilities. A permanent post with a 20% allowance for hours worked at the weekend plus all the tools
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, and wellbeing activities and state of the art sports facilities. Uniform provide plus the tools you need to do a great