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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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are encouraged to apply. The applicant will need to meet the minimum eligibility criteria for admission. Application Procedure Interested applicants should email an expression of interest with the following
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will help increase the material recovery rate in the LIB recycling process and reduce waste and carbon footprint in the battery value chain. By returning waste to battery manufacturing, the project will
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submit your academic CV to the designated supervisor for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview process. Please submit your academic CV
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your academic CV to the designated supervisor for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview process. Please submit your academic CV
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on mechanical and physical separation methods for efficient recovery of active materials and components from spent LFP cells as well as development of hydrothermal relithiation processes to restore
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The candidates will design, develop and measure multi-qubit devices, where they will learn a wide range of techniques from single atom manipulation, device processing and optical measurements
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interests and strengths. Possible project objectives can include, but are not limited to: -Understanding how ADHD impacts emotion regulation at different stages of the emotion regulation process (e.g