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mechanical accuracy for small organic molecule energetics, but are too slow for routine use in medicinal chemistry. This collaborative, industry-funded, computational project will i) use state-of-the-art
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performance of AI models for fall detection. The research will combine experimental studies on different floor systems, finite element simulations of vibration propagation, and AI-based signal analysis
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productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis (TEA), and life-cycle assessment (LCA) to assess cost and GHG performance. Candidate’s Competencies and
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product quality, reducing waste, and enabling sustainable, low-carbon manufacturing of high-value materials. Academically, the work will contribute to the growing field of multiphase flow modelling. Contact
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of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied mathematics, physics, engineering or subsurface flow modelling. Enthusiasm
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we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and strong verbal and written communication skills are also
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standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and strong verbal and written communication
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, and the ability to think and work independently. A master’s degree is not required if you hold a 2:1 or can demonstrate equivalent experience through work or research-based projects. Essential
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actions. The project will combine techniques from functional analysis, topology, and algebra, so background in these areas–in particular functional analysis–is desirable. Number Of Awards 1 Start Date 1st
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for C*-algebras; Cartan subalgebras of C*-algebras; Semigroup C*-algebras; Ring C*-algebras; C*-algebras from algebraic actions. The project will combine techniques from functional analysis, topology, and