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an artificial tactile sensor with the human nervous system. The role will involve the development of psychophysics methods to investigate encoding strategies for microstimulation and their effect on tactile
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response for hepatitis B virus (HBV) in a number of countries, including Ethiopia and Uzbekistan. The post-holder will contribute expertise in epidemiological methods to analyse detailed datasets and
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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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of computational approaches to analyse and integrate single-cell and spatial multiomic datasets to unravel the effects of nucleic acid-sensing pathways (e.g. cGAS/STING, RIG-I, MDA5 and others
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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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numerical analysis tools and developing new engineering designs and understanding new, complicated physics at the forefront of future engineering. For informal queries please contact: Thomas Rendall
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and handling process. The aim of the project is to compare the use of two different catching methods with regard to the behaviour and welfare of poultry during catching and handling, as
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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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combines feminist quantitative methods across disciplines. The candidate will work with large-scale UK datasets, contribute to interdisciplinary and mixed-methods research, and engage with stakeholders