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Multiple graduate research assistant openings are available in the Micro/nano-Engineering Laboratory at the University of Tennessee Chattanooga. The positions are for Ph.D. in Computational
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-to-roll technology and post-processing to harvest nanoparticles on a scale beginning with grams, heading for kilograms and with the potential for tonnes – representing a revolutionary paradigm-shift in (bio
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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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to the current blockchain network infrastructure. This will help to secure the asymmetric encryption used for digital signatures in several distributed systems against quantum and cyberattacks. The output
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technology transfer and an insilico approach to the development of continuous processes based. The project will use as a baseline the mAb solutions platform process and standard downstream operations as
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-observer variations. Current AI models use single modality inputs, failing to effectively integrate data from multiple sources due to their heterogeneity. This project aims to develop a novel solution for
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. The engineering challenges are to provide users with the controls they would like to have in order to adjust the behaviour of their audio system, for example, boosting the bass response interacting with the room
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technologies (phage-display) for stratification of fracture repair and bone regenerative treatments by gender. This project offers a unique interdisciplinary programme at the engineering, life science, and
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the Defence & Security sector. Entry Requirements This PhD studentship requires UK Citizenship. First Honours or 2:1 bachelors or masters degree in Computer Science, Mathematics, Engineering or related areas
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, Engineering, Computer Science or relevant discipline Funding and Eligibility Available to eligible home fees students. Key Information Supervisors: Alok Choudhary, Sube Singh