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Field
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in real time. The candidate will contribute to modeling interactions between physical and digital infrastructures to enhance energy management, transportation networks, and urban sustainability. Key
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques
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the formation of planets and planetary systems. His research combines planet formation simulations, the study of dust chemistry, and hydrodynamic modelling of protoplanetary discs to constrain the conditions that
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the following: Study and optimise microfluidic system and conditions to deliver nanoparticles (NPs) to the surfaces and study their interactions under different conditions; Analyse data from microscopy images and
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The post-holder will join a team of investigators working on the NERC-funded Pushing the Frontiers grant ‘Influence of complex source and environmental source conditions on eruptive plume height
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millennium CE, and 2. how did they respond both intellectually and socially to these changing conditions? The postholder will help to answer these questions using agent-based modelling (ABM) of social
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conditions Couple the power electronics model with electrochemical battery models Support efforts towards hardware-in-the-loop (HIL) integration of the developed models Collaborate with project partners and
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development of models that capture the kinetics of point defects and their interaction with electronic charge carriers under various conditions, including electric fields and irradiation environments. Key
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project aims to investigate the mechanobiological response of murine articular cartilage and intervertebral discs by replicating physiological loading conditions using a novel robotic platform compatible