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of current issues and future directions within the field of Active Inference, control theory or Bayesian inference. B7 Experience with building computational models of human users in an interaction setting. B8
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are studying these neurons in rats, in order to find out how the cells “know” which direction the animal is facing. This process involves a mixture of sensory perception (for example of the visual scene) and
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wild and domestic animal populations wildlife diseases and conservation network analysis of disease spread phylodynamics model-based statistical inference using Bayesian approaches vector biology
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, central timetabling, AV, facilities and communications. 2. Project management: responsible for operationalisation of the project, working independently to monitor objectives and plan and prioritise own
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of innovative particle identification and noise filtering algorithms based on Machine Learning techniques to improve the detection of muons in a variety of particle detector systems. 3. Lead the development
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characterizing Telecom band photon pairs, photon pairs beyond 2μm and the generation of macroscopic quantum states of light, implementing squeezed light into the IR regions for enhanced detection and imaging
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Virol 69, 96-100 (2015). C. Mair et al., Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. PLoS Comput Biol 15, e1007492 (2019). Option B: Create
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with specific learning objectives, set by others. Main Duties and Responsibilities 1. Under supervision, to demonstrate and provide instruction to students (both small groups and one-to-one) in the use
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knowledge exchange activities relative to their research and teaching. They will also undertake administration and service activities in line with the strategic objectives of the School and of the College
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learning objectives. 5. Contribute to the effective use of learning technologies to support and enhance course delivery, course organisation, feedback and assessment. This may involve blended and/or online