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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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of Public Health and Primary Care. The post-holder will contribute to the development and application of a simulation model exploring optimal approaches for iron supplementation in blood donors in England
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, & Buckingham, 2018). Research Aims and Objectives To determine which haptic cues are critical to optimize sensorimotor learning in surgical contexts. To investigate if proprioceptive cues delivered though a
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computationally. This combined analytical and theoretical approach will identify optimal catalyst architectures and substrate classes to achieve highly selective and previously inaccessible catalytic outcomes. In
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are: COMSOL Multiphysics simulations of the design for optimal 2D and 3D electrode system for targeting PC Fabrication and test of the electrode system Development of variable amplitude and frequency control
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2026 Details Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is not limited
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modern distribution networks and developing tools for the optimal integration of PEDs/LCTs and the design of effective classical and AI-based protection concepts. Your core responsibilities will also
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to develop scalable and energy-efficient AI accelerators for resource-constrained IoT and networked systems through joint optimization of AI models and emerging hardware architectures. Topics will include: AI
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for the following 14 PhD Positions (3-year contract starting September/October 2026): Position A Optimized IoRT network for enhanced data quality of IoRT cereals production practices. Aarhus University (DK
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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in