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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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of thousands of potential materials. A key component of the project is the creation of a high-quality defect database for functional mixed-anion semiconductors, which will be used to train the machine learning
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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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integrating biological (transcriptome, proteome, physiology) and geochemical (trace element and isotopic ratios) data collected by the rest of the project team. Finally, we will explore the application
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Computer Science, Data Science, Machine Learning, or an Engineering/Science discipline with a data science/analytics component. To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk
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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
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block diagrams, the high-level layout of component arrangements or source code. Supervisory Team: The candidate will be supervised within the Cybersecurity and Computing by Dr Abdul Razaq and Dr Sanaz
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component of this project will be the integration of cost-benefit analysis to assess the effectiveness of different restoration efforts, exploring their potential to meet both local and regional biodiversity
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challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction
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costs. Condition monitoring (CM) of rolling element bearings, hereafter called bearings, has been the main point of attention for many decades in the industry for maintenance. This is because bearings