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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to optimize other thermal processes
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of such high-performance fiber laser platforms requires advances in the development of high-reliability fiber components and optimized doped fibers. The first objective of this PhD project is to explore
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of the main technical challenges associated with each pattern. - You will develop these proxy apps by leveraging the libraries, frameworks, and tools provided by the other NumPEx teams. - You will optimize
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framed within the NCN OPUS project, "Food Waste Biorefinery for Sustainable Production of Next-Generation Algal-Based Bioproducts," will be implemented. The project focuses on optimizing food waste
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on the synthesis and preparation of various layered transition metal-based and hexacyanoferrate-derived positive electrode (cathode) materials for Na-ion batteries. This includes synthesis optimization and
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economic impact of optimized cooling solutions and refrigerated supply chain solutions. Your tasks The priorities of the tasks will be flexibly decided depending on the concrete opportunities at hand after
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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from the diet of people with Crohn’s disease induces disease remission. Dr Ralley Prentice: From Monash University/Monash Health/Hudson Institute of Medical Research/St Vincent’s Hospital Melbourne will