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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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distribution will change. Earlier in their career they will directly conduct research, whereas later, as they become ready to apply for other positions or transition away from postdoc status, they focus
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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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/index.html) and the Geospatial Snow, Water, and Ice Resources Lab (GeoSWIRL; https://arcg.is/0ObXba) at Montana State University are recruiting a Postdoctoral Fellow. The postdoc will focus on developing and
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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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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
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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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-processing workflows for single-photon LiDAR and time-resolved imaging, including event-based or neural-network-assisted approaches for efficient extraction of information from sparse photon measurements, low