598 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Oxford in United Kingdom
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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equipment and is aware and knowledgeable of the Health and Safety requirements involved in scientific research. Educated to A Level standard or equivalent, you should be computer literate, organised, able
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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proofread a range of communication materials, coordinate the distribution of communications to the appropriate audiences, assist with the production of promotional materials, be an active member of relevant
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on a research programme which aims to obtain quantitative information regarding long term outcomes in early breast cancer. Contributing to several projects, you will collate and link data, design
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
of tropical forests in the Amazon and on how these relate to the distribution of vector-borne diseases in the Amazon forest. The post holder will carry out their research, advised by the PI and Dr. Milton
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background in (computational) physics or another exact science at an academic level • A background in software engineering • Aptitude for understanding and analysing scientific concepts • Proeficiency in
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seeking to appoint a Departmental Lecturer in Educational Assessment. The post-holder will contribute to the teaching and supervision of students on the MSc Educational Assessment (MEA) programme offered