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Field
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stiffness composites Implement bespoke optimization algorithms combining shell geometry and fibre distribution accounting for nonlinearity and uncertainty Conduct optimization studies and oversee
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programming and evolutionary algorithms for scheduling. A high level of motivation and commitment to successfully completing your doctoral studies within the planned timeframe. Cooperative, team-oriented, and
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closely with researchers as you co-design solutions that will enable the development & operation of new algorithms and software to solve leading-edge research problems. You should apply if You will find
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-engineering) is home to the National mmWave Measurement Laboratory (https://www.sheffield.ac.uk/mm-wave). The Group also a has a long history in frequency selective surfaces, EM and antenna array research
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interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial intelligence / operations research. You are a team player with excellent social
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programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world
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researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want
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learning algorithms and specific applications in GeoAI In-depth knowledge of spatial/GIS programming, preferably in Python A proven track record of application of machine learning to real-world problems
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An understanding of optimization methods, either as applied to structural optimization problems or the underlying principles and algorithms for convex/integer programming. Essential Application/Interview The ability
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algorithms. Project title: Multimodal AI for Immunology Applicants are invited for the post of PDRA in Multimodal AI for Immunology. The post-holder will develop multimodal deep learning models to predict