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PhD Studentship - Data Driven Optimisation for Process Scale-up Award Summary 100% fees (Home & international), a minimum tax-free annual living allowance of £18,622 (2023/24 UKRI rate), and a
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PhD Studentships - Process Industries: Net Zero Award Summary These studentships provide 100% fees (Home & international), a minimum tax-free annual living allowance of £18,622 (2023/24 UKRI rate
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living allowance of £18,622 (2023/24 UKRI rate), and a research training support grant of £20,000. Overview The PINZ CDT will train the next generation of process and chemical engineers, and chemists
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of visibility, scale, privacy, false-positives, and cooperation. AI based techniques will be explored to make Cyber Physical Systems forensic ready. Number Of Awards 1 Start Date September 2024 Award Duration 3.5
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students with a physics or chemistry background are strongly encouraged to apply for this post. A good background knowledge of molecular quantum mechanics and computational chemistry is expected and basic
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skills, preferably Python, Matlab, or R. Experience with one or more of hardware-programming, cyber physical/electrical systems, privacy-enhancing technologies, machine learning, signal processing. Good
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-changes to the globally-leading Alpha process for methyl methacrylate (MMA) production developed by Mitsubishi Chemical UK at Wilton on Teesside. In addition to resilience against geopolitical factors
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allowance of £18,622 (2023/24 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part of the CDT in Process Industries: Net Zero . The successful PhD student will be co
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proposed PhD project (inc. any physical sciences, computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong
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equivalent in a relevant STEM subject, inc. Mechanical Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, etc.). Applicants whose first language is not English require an IELTS score