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: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification
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subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level. Applicants may hold a PhD in
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accepted all year round Details Would you like to develop novel semiconductor infrared sensors for real-world applications, while working closely with leading academics on this topic? We are looking for a
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electrochemical sensor for heavy metals in water. This is a fixed term 12 month position that is estimated to start in June 2025 and end in May 2026. About the Role: As a Technical Specialist, you will: Work
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maintenance, production efficiency, and quality control. While the benefits of ML are significant, its adoption also introduces risks such as data privacy concerns, algorithmic bias, model transparency issues
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incorporating various friction models. You will conduct experiments with a physical rig to identify essential system parameters, friction characteristics, and actuator/sensor models. This process will not only
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and experience
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Dark Matter Search with ADMX and the Quantum Sensors for the Hidden Sector Collaboration
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in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies