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Field
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of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support disassembly tasks in the energy sector (wind turbines). You will also
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to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and
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, to predict MoSS formation, model dopant effects on crystal structures, and identify optimal dopants for tuning host compounds. The project is highly multidisciplinary, linking computational and physical
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, to predict MoSS formation, model dopant effects on crystal structures, and identify optimal dopants for tuning host compounds. The project is highly multidisciplinary, linking computational and physical
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record of delivering application support and development for business-critical systems Strong knowledge of SQL Server databases and relational structures Expertise in capturing and optimizing business
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Project overview Lancaster University’s Department of Management Science is seeking a Senior/Research Associate for a project “Tackling new simulation and optimization challenges towards self
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plasmas for use as magnetometers. It also entails developing and deploying electronics to enhance and optimize control of the antihydrogen magnetic trap system. Further, this candidate will help establish
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assurance processes to ensure that the program is constantly reviewed and revised to optimize student experience and school, college and university reputation Develop personal teaching and assessment skills
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for those eager to pioneer AI-integrated hardware and contribute to next-generation intelligent systems. AI and ML are revolutionizing electronic system design, optimization, and security, fueling innovations
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aim is to implement medical and synthetic chemistry experience to generate compounds with desirable biological activity, selectivity profile and optimal physicochemical properties. The position offers