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develop a non-invasive method that eliminates the need for additional sensors or frequent recalibration. By training sophisticated AI models on extensive clinical datasets of PPG waveforms, we aim
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their dynamic, low-affinity nature and difficulties in protein purification. This project overcomes these hurdles using cutting-edge techniques: Al based computational protein modelling with AlphaFold and
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field measurements and building energy-thermal modelling, assists developing the preliminary Heat Vulnerability Index and assessing intervention feasibility, and supports transdisciplinary team
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Advancing Human Motion Understanding through 3D Modelling and Foundation Models (S3.5-COM-ZChen) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zhixiang
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safer, more reliable, and more transparent. It has two main goals: First, the project will create new ways to automatically test and check the code produced by language models. This includes designing
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Overview The Geotechnical Centrifuge Facility is a key part of the well-established Geotechnical Laboratories located at the main university site. The facility supports advanced physical modelling
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remote sensing approaches for dynamically modelling ET in a range of vegetated SuDS designs, from small-scale test beds to in situ SUDS infrastructure embedded within the city landscape. The post will be
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” of geometry, similar to how a fluid fundamentally consists of atoms and molecules. Simple models of cosmology can be derived from the collective behaviour of many such atoms and agree with what we expect
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, with important consequences for host outcome. You will use a range of cutting-edge in vitro and in vivo models of bacterial infection to: Assess the effect of deficient type I IFN responses on disease
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require the use of cognitive shortcuts. - To develop and fit computational models (e.g., reinforcement learning, Bayesian models) to participant data, allowing for a precise, quantitative definition of