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capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve
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process validation. The successful candidate will have opportunities to work at TPC’s facility in Hallstahammar, contributing directly to on-site trials and process enhancements. The company’s investment in
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letter of "Confirmation of funding" must be attached/uploaded during the application process. Candidates should supply a brief research proposal of 2-4 pages. This should include a brief literature review
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letter of "Confirmation of funding" must be attached/uploaded during the application process. Candidates should supply a brief research proposal of 2-4 pages. This should include a brief literature review
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process, please contact the Education support team at ioppn.pgr@kcl.ac.uk . References must be received by the deadline for the applicant to be eligible. Only shortlisted applicants will be contacted.
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or joining thin-wall Titanium and Nickel alloys at high temperatures. Due to the unique material behaviours of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is
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crucial role in paper manufacturing, enhancing paper strength, surface properties, and printability. However, variability in starch quality, processing conditions, and raw material properties can
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define observable events based on expert knowledge and available evidence. Development of a post-race analysis structure, process and data ‘toolkit’ that can build on historical understanding of race
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of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is challenging. Characterising the mechanical behaviours of thin foils at elevated temperatures is crucial in
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motivation to study this PhD project. Please Indicate clearly your experience with programming and your level of knowledge on molecular simulations.