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Field
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efficiency, and system robustness. The primary objective of the project is to develop novel circuit topologies and design techniques that push the state of the art in high-speed optical interfaces. Key
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, validated laser-scanning optimisation strategies, and a robust process-design methodology for producing high-quality POC moulds. Secondments to industry and university partners support validation of ablation
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 5 hours ago
Parkinson’s disease. Faculty participate in major national and international studies, including ADNI, ATRI, ADCS, DIAGNOSE‑CTE, MarkVCID, DIVERSE‑CTE, CLARiTI, and DISCOVERY. Robust research infrastructure
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of the liver to resolve inflammation and restore tissue homeostasis. The PhD will focus on developing a robust, microfluidic platform for in‑depth analysis of liver - immune cell interactions. For more
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; continual or lifelong learning; or AI safety (alignment, scalable oversight, adversarial robustness). A strong publication record at relevant venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or established AI safety
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the current state of the welded thermoplastic composite joint and the development of this state over time, is of decisive importance for lifetime performance modelling. The key challenges are the robust
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size, enabling accurate, robust and culturally appropriate technology for low-resource languages. The objectives include: Establish reproducible testbeds across typologically diverse low-resource
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the field to progress consensus on the most robust and reliable measures to use, leading in the second part to focussed, small-scale piloting of interventions which could potentially modify dysregulated
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activation, reliability, robustness and the fact that they are maintenance-free. Despite these many advantages, the exact mechanisms that control performance in industrially utilised thermal batteries has
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project aims to address this gap through the development of a rigorous empirical framework for evaluating the security robustness, failure modes, and operational risks of AI decision engines in cyber