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, secondment: OPTIBRIUM LIMITED (UK) Supervisory team: Dr. Mario Öeren, Dr. Matthew D. Segall (OPTIBRIUM LIMITED), Prof. Toomas Tamm More info: https://taltech.ee/en/innochembio/oeren Affordable but High
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expertise and facilities in electrochemistry, materials chemistry, advanced characterisation techniques (including a variety of spectroscopy, microscopy,) modelling and battery and fuel cell construction and
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Physical Sciences for Advanced Materials and Technologies (MPHS) Program duration: 4 years No. of scholarships: 5 Coordinator: Prof. Nicola Fusco Contact e-mail: mphs@ssmeridionale.it 8. Modeling and
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science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage
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, smart materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving
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Magnesium Alumina and Silicates -CMAS-) can infiltrate these coatings and accelerate their degradation. Leveraging a fundamental understanding of material science, coatings technologies and advanced thermal
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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of material science, coatings technologies and advanced thermal spray deposition systems, this research explores the development of novel protective chemistries that can be deposited in situ to protect
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with Professors Serena Best and Ruth Cameron at the Cambridge Centre for Medical Materials in the Department of Materials Science and Metallurgy. The SHIELD Doctoral Network offers an exciting
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as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically scale up LCEs in size as well as in number, we are developing a ground-breaking new