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, develop novel approaches for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national
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systems. Experience in people leadership. Experience in management of Electrical safety in design, installation and operation. Experience of PLC based systems, sensors, field instrumentation, ultra-high
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experience in microcontrollers, control system design, and sensor integration. Knowledge and experience of plasma generation hardware and diagnostic methods. Further information It is essential that you
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(SI-ATRP) and used to organise chromophores in 3D. You will develop solution-processing routes for the production of quantum optical materials, and design sensors for use in early detection of cancer
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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leading work to accelerate aspects of atomic systems miniaturisation to boost sensor capabilities across the range of being developed. FTE:1 Term: Fixed Term (24 months) Applications are invited for a
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for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national level for peer-reviewed
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systems. You will support digital project delivery and the University's Smart Campus initiatives, integrating spatial and sensor data to enhance building performance, space use, and user experience. From
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one