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About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle critical gaps in pose understanding and transfer and interactive editing, enhancing the analysis,...
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Project background: Polycrystals are the building blocks of numerous materials around us, from metals to ceramics, influencing their mechanical, thermal, and electrical properties. Understanding their intricate structures is crucial for advancing fields such as aerospace, engineering, and...
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Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate), plus an additional industry enhancement on top of this. An additional allowance will be provided to contribute towards consumables, equipment, and travel related to the...
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Supervisory Team: Chris-Kriton Skylaris (90%) Andrea Russell (10%) Project description: Proton-exchange Membrane (PEM) hydrogen fuel cells are an emerging technology for environmentally sustainable transport and other carbon-neutral energy applications. A crucial component of these devices are...
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20 May 2024 Job Information Organisation/Company University of Hertfordshire Department Engineering Research Field Engineering » Control engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 10 Jun 2024 - 12:00 (Europe/London) Type of...
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PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. One such challenge is “simplicity bias ’’, which is a model’s bias towards...
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One Opportunity About us We are The Bartlett, UCL’s global faculty of the built environment. Individually, our schools and sections lead their fields. In partnership, they develop new responses to pressing world issues. As a whole, they represent a world-leading, multidisciplinary faculty,...
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Supervisory Team: Dr Susmita Naskar, Dr Tanmoy Mukhopadhyay Project description: This PhD studentship will involve a combination of computational and experimental work, providing the students with complete and holistic training and a diverse research experience. At the micro-scale, the...
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Summary: Applications are invited for a 4-year PhD studentship within the new established EPSRC funded Centre for Doctoral Training in Sensing, Processing, and AI for Defence and Security (SPADS). The program involves both a PhD research project and integrated studies as part of a cohort of...
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PhD Studentship: Cyclic peptide discovery for intracellular protein targets Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate), plus an additional industry enhancement on top of this. An additional allowance will be provided to...