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. Training will cover modelling, quantitative analysis, and laboratory methods. OBJECTIVES O1. Build a spatiotemporal lineage atlas of the pre-implantation human embryo. The student will assemble high-content
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Bayesian ML approaches for path inference; introducing sensors; behaviour classification; resource-constrained active-learning; other IoT applications; microbattery development and field experiments and
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-assisted vector databases, data-mining techniques - to reassess currently available information sources including letters, diaries, manuscripts, annotated maps and objects to identify these women
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modelling and analytical skills in building and testing an acoustic monitoring tool to detect hidden defects in sewer pipes as a part of the EU multi-institutional project AI:LINERS. The work will be carried
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environments and inaccurate prior maps, to name a few. In order to cope with these challenges different methods will be developed. Knowledge of Bayesian methods for sensor data fusion, mapping and multiple
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
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, etc.) and set up equipment for experiments that have been designed specifically to meet research objectives and find solutions. Develop skills through external or on the job training, suitable
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and forward plan. Experience of contributing to a project with set objectives and a proven ability to work to deadlines. Further Information Grade 5 Salary £27,319 to £31,236 per annum (pro-rata), with
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these observations is that biases in the perceptual systems used by animals (including humans) to detect and process sensory information have played an important role in shaping communication signal evolution. In