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Field
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The exciting progress of quantum sensing in laboratory experiments have prompted a worldwide effort to develop robust portable systems that can be used in real-life applications. An example is atom
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team will be to measure crop performance using leaf gas-exchange, chlorophyll fluorescence, and remote sensing methods. Your work will ground-truth the high-frequency measurements made by proximal
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GIS, remote sensing, spatial analysis and/or GIS software development. The appointee will be expected to teach at both undergraduate and postgraduate levels, as well as undertake a range of
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Remote patient monitoring using wearable devices and AI Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Shaoxiong Sun Application Deadline: 19 May 2024
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About the Project Remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. By analysing extensive data from wearable
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will include key methodological skills. Person Specification We are looking for a candidate with a minimum 2:1 (and minimum 60% project mark) in Geography/GIS/Remote Sensing or a related discipline
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well as coordinating and managing field data collection, supervision of laboratory teams, data management and analysis, and publication of scientific articles. The post will involve remote supervision of laboratory
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and monitoring plastic pollution using remote sensing techniques, again with a predominantly marine focus (Salgado-Hernanz et al., 2021), using both satellite (e.g. Biermann et al., 2020) and Unmanned
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teaming in complex scenarios. About the Role Our reputation for leading in the field of AI and autonomous systems: human-centred AI, human-machine-interaction, advanced sensing, communications, machine
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experience in the broadest sense including transferable skills. We are keen to recruit an Engineering Lead with a specialism in a relevant area such as: AI/Machine Learning Climate Science/Numerical Modelling