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remote and on campus working (Hybrid working ) For an informal discussion about the role, contact Amanda Harper, Director of Operations a.l.harper@bath.ac.uk We're very proud to be a signatory of the Armed Forces
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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engineering Antennas and propagation Electromagnetics Radar and sensing Communications systems Spectrum, interference and regulation Embed RF learning within NMITE’s challenge-based pedagogy Lead programme
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, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial experience. Significant postdoctoral
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wide range of libraries/frameworks and cloud infrastructure tools. Familiarity with Machine Learning, Neural Network and AI driven image analysis methods Experience with data management for large data
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enthusiastic Design and Technology Technician to play a pivotal role in supporting high-quality teaching and learning across Key Stages 3 and 4. The successful candidate will support the practical and technical
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Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and
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The effects of micro-machining operations on structural integrity of biomaterials used in dental applications
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science and applications. This project aims to develop the required formalism using modern probabilistic and machine-learning approaches, reformulating the problem in terms of conditional probabilities
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computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics, econometrics, statistical