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very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design
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View All Vacancies Engineering Location: UK Other Closing Date: Friday 31 May 2024 Reference: ENG1764 Project description Construction of large and deep shafts in urban areas is necessary
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Location: UK Other Project description Construction of large and deep shafts in urban areas is necessary for various construction activities, such as tunnel construction where shafts serve as
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Supervisory Team: Dr Christine Evers Project Description: Are you keen on conducting research at the intersection of artificial intelligence, deep learning and robot perception? We are recruiting a
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Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. One
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The recent advent of deep learning (DL) has enabled data-driven models, paving the way for the full exploitation of rich image datasets from which physics can be learnt. Here at the University
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, this requires a multiple approach combining computational thermodynamics and deep learning. This PhD project will lead to the conception of functionally graded advanced components combining properties
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If you think you might like to specialise in AI and specifically in deep learning, computer vision, differentiable rendering or computational linguistics then this fully funded studentship may be
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SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications
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different components a forecasting system, e.g. numerical weather predictions and flood dynamics modelling, need to be better understood, quantified and minimised. Methodology The aim of this exciting PhD