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cutting-edge Machine Learning/AI techniques to real-world problems? The Scalable computing group are focused on applying Machine Learning/AI and visualisation to real-world problems – highlighted by
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confirmed Reference: 2746824FP You will join our collaborative team to work on an EPSRC-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based
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We are seeking a creative and enthusiastic senior researcher with expertise in state-of-the-art machine learning to work in a large and successful research group based at the University of Oxford’s
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management based on using a machine learning approach. Hydration monitoring is a critical challenge in healthcare, impacting various groups such as athletes, soldiers, in extreme environments, individuals and
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for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning
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/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
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machine learning, bioinformatics, sequencing and microbiology. This role is available on a fixed term basis until 31st May 2027. Hours of work are full time (36.25 hours). Job share arrangements may be
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on research in the fields of machine learning, hydrology, and water resources management at various
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takes input from a machine-learning platform (Python-based) to produce new compositions. A cobot delivers the material to the furnace or a plasma spray to produce new coatings. The proposed research is
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Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a