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potential pathway to employment with Codan after completion of the PhD. About Codan Codan Limited is a global group of electronics and engineering businesses that develop rugged and reliable hardware
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is pioneering the development of a SaaS platform based at LotFourteen that leverages AI to help homeowners find the best balance in design and material selection for building resilient homes
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This PhD project aims to leverage continuous glucose monitoring (CGM) technology to develop personalized nutrition and meal timing strategies for people living with type 2 diabetes. By continuously
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Science, Artificial Intelligence, or Software Engineering (or equivalent). A record of quality research in relevant fields, as evidenced by publications in leading journals and at conferences commensurate with
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recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode Materials – These projects focus on developing low-cost, scalable strategies for the direct recycling and
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are deeply committed to environmental stewardship and eager to apply their specialized skills in AI, data analysis, software development, and electrical or energy engineering to make a significant and tangible
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recycling: Project 1 (2 PhD students): Development and optimisation of DES battery recycling process - These projects aim to improve the DES-based battery recycling processes, focusing on investigating
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the development of predictive models to anticipate potential failures. Additionally, the project will facilitate the transfer of this technology to industry, while also advancing academic knowledge
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Background in either healthcare or engineering (through a high-quality Honours or Masters degree). Interest and basic skills in developing predictive tools/pathways for improving patient care and surgical
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation