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from level 3 through to level 7. In this role, you will be required to develop teaching resources using a variety of active learning strategies, to ensure the apprentices have a high-quality learning
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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massive farming data over long-time scales. These long-term farming data brings more opportunities on leveraging emerging machine learning methods to examine the effects of multiple factors on crop growth
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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round Details This project explores how machine learning and artificial intelligence can transform the scholarly digital editing process, not only by potentially automating and enhancing editorial
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Application Deadline: Applications accepted all year round Details Self-driving laboratories (SDLs) combine the power of artificial intelligence (AI) and machine learning (ML), robotics, and automation
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machining, welding and cladding and non-destructive testing. As a Project Manager, you will be working within groups in the AMRC or across multiple groups. In this exciting opportunity this role will be based
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to AI, including deep reinforcement learning, human-in-the-loop machine learning, and multi-agent systems. Dr. Robert Loftin is a Lecturer in Machine Learning at the University of Sheffield. He received
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BSM processes. This will involve taking a lead role in developing dedicated software frameworks, including the implementation of machine learning techniques. A long-term attachment (6-12 months) and
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Knowledge of workshop activity: for example vacuum technology, metrology, material finishing, CNC and conventional machining, welding (particularly TIG). Desirable Application/interview Experience with