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1. Project overview Electrochemical sensing plays a central role in next-generation health technologies, enabling real-time monitoring of physiological environments with high sensitivity and low
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies
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-flowing Atlantic surface currents – including the Gulf Stream – that lose their heat to the atmosphere in the mid-to-high latitudes, before sinking as cold and saline waters in the Nordic seas. These dense
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predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
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in an exciting period of growth: major investment from the University will deliver a state-of-the-art research building (opening in 2023/24), and new multi-million pound high-performance computing
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-performance computing facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and learning provision
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pound high-performance computing facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and
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the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which
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a range of business modules within the Foundation Programme, employing innovative pedagogical approaches to foster engagement, understanding, and academic success, thereby contributing to high pass
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experience with Python development, a hunger to learn and develop a specialist understanding of data engineering practices within a high performing team is key. An interest in developing Continuous Integration