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work to generate high fidelity models of ice crystal icing shedding, verifying tools using a wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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empirical taxonomy developed by the PhD candidate. Model training and fine-tuning. Fine-tune large language models on annotated educational datasets collected during the project, ensuring the agent's
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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hold a PhD (or be close to completion) in, for example, econometrics, statistics, or computer science, with experience of analysing large datasets. The post offers the opportunity to contribute to a
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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at the intersection of emotion science, psychometric assessment, and large-scale intervention research. The projects will investigate the development and validation of novel measures of emotional skills and emotion
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of construction sites and information management Mathematical models for infrastructure impact and infrastructure economics Eligibility: PhD obtained between 1 January 2019 and 31 December 2024 (date of thesis
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across diverse populations with type 1 and type 2 diabetes. The group brings together enthusiastic and motivated clinical and basic scientists, PhD students, postdoctoral researchers, data analysts and