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Field
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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uncertainty significantly. Unfortunately, it is challenging to measure groundwater fluxes in the field. A new sensor prototype developed by the company iFLux to measure real-time groundwater fluxes in the field
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capabilities. The candidate may work on advanced multimodal sensor fusion, environmental perception, field-aware localization, precision navigation, and interaction with ground-based robotic or stationary
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(punctuation: 35) Item 02: Proven experience with processing of timing information, cryogenics and low temperature sensors (punctuation: 25) Item 03: Proven experience with electronics design, PCB layout and
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applications. The focus is on intelligent sensor systems that efficiently acquire, process, and evaluate data—even under demanding operating conditions. Working in interdisciplinary teams, we combine scientific
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to develop a data-efficient and uncertainty-aware framework for pigment mapping in Cultural Heritage. Heterogeneous spectral and imaging data from different sensors will be jointly exploited, including X-ray
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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that does not reflect local reality and thereby create unfair comparisons. Your work will include measurements of greenhouse gases (CO2, CH4, N2O) using drones and various sensors, as well as remote sensing
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mobility and vulnerability to falls. The project will combine physiological sensory biomarkers with postural control, gait analysis and real-life mobility measurements obtained using wearable sensors and
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of electron spin pairs in chiral molecules created by light using diamond-based quantum sensors. Spin dynamics of these radical pairs are central both in biology and for quantum information science applications