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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
About the Project Project details: Aerial platforms such as Unmanned Aerial Vehicles (UAVs), High-Altitude Platforms (HAPs), and Low Earth Orbit (LEO) satellites will play a vital role in the next
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, generally used in all-solid-state lithium-ion batteries, face hurdles like low ionic selectivity and conductivity, brittleness, chemical instability, and high production costs. Driving Li⁺ migration often
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research talent to develop and flourish. In REF 2021, 90% of our research was rated world-leading or internationally excellent. Our commitment to high-quality doctoral research is demonstrated by LUMS PhD
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between reliability, performance, computational efficiency, and adaptability under uncertainty. The candidate will be affiliated with CRADLE (Center for Robotic Autonomy in Demanding and Long-Lasting
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to work in a team and excellent communication skills You are goal-oriented and have a high motivation to strive for scientific excellence. Additional knowledge in high-performance computing, statistics
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‘foundations’ that develop in response to the loads applied to the tree. For example, trees subjected to high winds (inducing large moments) develop roots that prioritise lateral spread rather than depth
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fields for 3D reconstruction. This position provides an opportunity to collaborate with scientists from partner institutes around the world. You will also receive specialized training in high-performance
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systematically test the hypothesis that broad improvements in cognitive and behavioural performance are the result of an increase in neuroplasticity driven by oxygen and pressure related neural change. The project