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development opportunities including Cutting-edge chemical analytical and mineral characterization techniques: solution chemical sensing, mineralogy analysis, particle analysis, electron microscopy, and
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Simulations (LES). The analysis will be performed together with teams at the Helmholtz-Zentrum Hereon that focus on ocean turbulence and machine learning as a part of the TRR181 Collaborative Research Centre
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Simulations (LES). The analysis will be performed together with teams at the Helmholtz-Zentrum Hereon that focus on ocean turbulence and machine learning as a part of the TRR181 Collaborative Research Centre
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to probe metabolic states and function of control mechanisms. Analysis of strain performance and control mechanisms using computational tools (e.g., flux balance analysis, kinetic models, network component
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Solubility, and dissolution dynamics, are key physico-chemical properties of active ingredient solid forms and are required across the chemical industry, however their determination remains a
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. The successful candidate will work on a Wellcome Trust-funded project that brings together the Karam Teixeira and Durbin groups to focus on dissecting how transposable elements shape the evolution of eukaryotic
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the properties of post-consumer recyclates. The project will apply cutting-edge data science techniques, including principal component analysis and machine learning, to handle multivariate datasets and enhance
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digital twins, and life cycle assessment (LCA). A central component of the research will be the development of digital twins to simulate the entire production process, from raw materials to final product
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Tillys Petit, Tillys.Petit@noc.ac.uk, National Oceanography Centre Southampton Project description: The Atlantic meridional overturning circulation (AMOC) is a central component of the climate owing
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musculoskeletal conditions. Apos utilizes personally calibrated footwear with unique biomechanical elements attached to the sole of the shoe that alter the user's walking pattern, redistributing forces across