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by the Ada Lovelace Centre and the University of Birmingham. This interdisciplinary project is ideal for candidates with a background in physics, materials science, chemistry, or computational science
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opportunity to advance our understanding of, and ability to mitigate, climate change Work with a global team of experts Access to a state-of-the-art, high performance computing cluster The opportunity
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. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial. What we offer: We offer a position with a
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BCAST Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for the project “Development of high performance and highly impurity-tolerant recycled Al alloys
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for pneumonia, 55% of patients visit their GP within 30 days of discharge from hospital while 15% are readmitted to hospital within 30 days of discharge. Despite the high morbidity experienced and
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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kernels that are common in scientific workloads and rewrite them to achieve better performance while delivering high accuracy despite running on low-precision hardware. Hardware is designed to cater
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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles