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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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of early tissue responses in vaccination with mRNA vaccines (MechRNA) as part of the larger the Lymph nodE single-cell Genomics AnCestrY and ageing (LEGACY) Network. This project involves profiling the intra
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tissue responses in vaccination with mRNA vaccines (MechRNA) as part of the larger the Lymph nodE single-cell Genomics AnCestrY and ageing (LEGACY) Network. This project involves profiling the intra-lymph
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leader Pedro G. Ferreira and other members of the Beecroft Institute of Particle Astrophysics and Cosmology. The post holder will be a member of a disparate research network working independently to carry
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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with the NHS, public health bodies and the private sector. This is an exciting role, with the opportunity to work in an interdisciplinary team as part of the wider network of researchers within the HPRU
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comfortable budget to conduct both project-related activities and activities related to their independent career development; iv) benefiting from the team wide academic and not-academic network, including