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Application deadline: All year round Research theme: Robotics, Smart Manufacturing How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is funded by the Department
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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
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Learning. (If you are more interested in conducting attacks rather than defences, refer to https://ieeexplore.ieee.org/document/10274102 ) 4. Federated Learning for Smart Home applications. (Reference
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include the - to be launched - Smart Data Research UK Social Media Data Access taskforce, a collaboration between Cambridge, Sheffield and York Universities to improve access to social media data
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview The Industry 4.0 revolution is driving smart manufacturing while highlighting
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instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
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that are flushed post-use. The successful candidate will investigate new manufacturing approaches and application of smart materials to achieve similar or enhanced functionality with reduced environmental impact
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) are beautiful smart materials that combine fluidity and softness with the structural order of solids. At a basic level, LCs comprise asymmetric molecular building blocks: rod-like, disc-like, box-shaped, bent
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the next generation of robots and its sensing solutions to perform tasks in challenging working environments. This project is related to the development of smart mechanisms and sensing to support the
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integrates dynamic “smart” materials into 3D-printed structures, opens new frontiers in both bioelectronics and solar energy harvesting. Our goal is to create adaptive electrode architectures. These advanced