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of different chemical and biological wearable/implantable/point-of-care sensors using these materials for the high precision detection of biomarkers and physiological parameters, such as proteins, DNA, antigen
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decision making increasingly relies on analysing very large datasets collected through digital technologies, administrative systems, sensors and longitudinal studies. While these datasets offer unprecedented
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to urban heat island effects, microclimate variation, and platform and sensor performance. · Assist in preparing figures, tables, maps, technical summaries, and presentation materials for project meetings
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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through field-based surveys, and from ground-based sensors, proximal sensors and UAVs and satellites. These data are often used to drive process models, that ultimately are used to optimise aspects
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candidate will join our Advanced Sensors team and contribute to the 5-year Leverhulme Research Leadership Award project, Sensing Wastewater for Real-Time Public Health. About the Role The postholder’s primary
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About the job: This Research Fellow post will contribute to the EPSRC-SFI project “Quantum control for robust ultracold atomic sensors (Croutons)”. The role will focus on research in the control
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annum We welcome applications from a Research Fellow with a strong passion for, and experience in, biosensing, microfluidics and microbiology. The successful candidate will join our Advanced Sensors team
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metasurfaces using electromagnetic simulation tools (FDTD/FEM) to establish optoelectronic eigenvectors. • Nanofabrication: Fabricate multi-pixel sensor arrays and integrate pre-synthesized chiral 2D HOIP
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to study how dysprosium’s large magnetic interactions can be utilised in future magnetic field sensors and to investigate precursors for novel quantum phases of matter. The project is supported by Quantum