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this role, in collaboration with BorealBlaze Norwegian and other international partners, you will apply machine learning methods to develop a statistical model of natural and anthropogenic controls on boreal
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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for the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research objectives, alongside developing
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for 36 months in the first instance will have a specific focus on the implications of Risk Base Pricing for the design of on market evidence generation and the Return on Investment for developers
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will involve the development of advanced data analytic and machine learning techniques applied to the processing of sensing signals obtained from advanced fibre-optic communication systems. You will be
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for electrochemical energy storage research and skills development. The Faraday Institution vision is to bring together scientists and industry partners on research projects to reduce battery cost, weight, and volume
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We are seeking a highly motivated Postdoctoral Research Associate in the field of Theoretical and Computational Chemistry to develop accurate models of time-resolved X-ray photoelectron spectroscopy
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researchers across the University of Plymouth, the NHS and national and international research groups. We are particularly keen to develop capacity in our areas of strength, including clinical trials
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for recent PhD graduates to establish independent research careers. These 6-month fellowships (November 2025 - April 2026) offer a crucial bridge for promising researchers to develop their careers while
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the successful candidate will take a central role in managing and developing solid-state hydrogen technology, such as developing technology for the OceanRefuel project. This wide portfolio includes single and