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offering one funded PhD position investigating how LLMs represent and process linguistic knowledge, drawing on tools from computer science, linguistics, and neuroscience. The aim is to build new
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performance. However, calculating defect formation energies and migration barriers using first-principles methods remains a major bottleneck in the materials discovery process. To address this, we will develop
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triboelectric nanogenerator (TENG) to sustainably power ingestible medical devices. The aim is to harness mechanical energy from natural intestinal peristalsis to enable battery-free operation of autonomous
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. 2. System Integration: Integrating the DTs into material and energy balance equations
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training activities within DPHPC. - Participate in CCGE and DPHPC activities, meetings, and seminars as appropriate. The funding for this post is available for one year from commencement in employment in
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marine and continental processes. However, direct in situ measurements of the processes responsible for methane removal remain sparse. The chemical environment here is shaped by a diverse mix of Saharan
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, while simulations are subject to error due to uncertainty in nuclear data and unresolved physical processes e.g. thermal expansion and fine-scale inhomogeneities. Generating independent simulation
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natural language processing, Dr Matthew Hitchings, who will offer cutting-edge insight into high-throughput sequencing and a strong background in comparative genomics and bioinformatics and Professor Lewis
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Hydrogen is the most abundant molecule in the universe, and its interaction with surfaces plays a key role in a huge range of processes, from star formation to the safe storage of rocket fuel
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a