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) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting. Previous experience and
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and UK) and industry events, plus an end-of-project symposium. Training and networks at BU: access to research methods seminars, the Doctoral College Researcher Development Programme and health and
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, consolidate and extend ongoing research, and establish a schools health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme
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continuous seismic datasets from Costa Rica’s National Seismological Network (Red Sismológica Nacional; RSN) creating enhanced earthquake catalogues that will illuminate subsurface volcanic, tectonic and
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sensory inputs are integrated at the neural network level to form spatial representation in the brain, using state-of-the-art in vivo electrophysiology techniques including the latest Neuropixels probes and
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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of using Bayesian methods in both model development and fitting. Previous experience and knowledge of research methods and study design in clinical trials. Knowledge of Good Clinical Practice (GCP) in
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to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By building a global database on technological progress, we seek
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reactions. The work will extend ChemZIP to handle catalytic chemistry, develop a reduced-order 1D network model linking reaction and pressure-drop effects, and use it to optimise catalytic structures within