45 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Newcastle University in United Kingdom
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waters. This limitation prevents effective early warning, targeted sampling and timely mitigation of pollution events. Furthermore, while real time telemetry from water companies provides valuable data
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highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data analysis will be an advantage. Enthusiasm for field research, the ability
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stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will develop mixed-methods expertise and join Dr
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators
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then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement directly in to the application
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’) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a
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under 26 NB: If you are already studying for or hold a British degree or degree-equivalent qualification, you will not eligible to apply for a Marshall Scholarship. How To Apply For further information
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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simulation experience; collaboration with leading researchers; and training in advanced characterisation, data analysis, and data interpretation. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4
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-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next