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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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due to reading week, and one other week TBD). Duties include assisting students as they work through pre-prepared pen and paper/computer based introductory research methods exercises including tasks
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processes involved in clinical trials. They should have good computer skills with experience in one or more statistical programming languages, and excellent communication skills suitable for working with a
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processes involved in clinical trials. They should have good computer skills with experience in one or more statistical programming languages, and excellent communication skills suitable for working with a
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wind energy penetration. The successful candidate will lead the design and implementation of scalable energy system model that enhance grid flexibility, resilience, and economic efficiency. In parallel
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high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant postgraduate research
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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transducers and arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should apply
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round of its international recruitment campaign to appoint the Founding Heads of its Research Development Labs. Two parallel calls are open: GENERAL CALL https://ai4i.it
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audiences and presenting complex information to different audiences. Ability to manage complex multi-stakeholder projects in parallel with similar timeframes and conflicting priorities whilst meeting