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numerical simulations of complex dynamic systems, e.g. turbulence, hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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), urinary tract infections (UTIs), and genitourinary syndrome of menopause (GSM). We leverage large, deeply characterized longitudinal cohorts and biorepositories, integrating metagenomics, transcriptomics
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extensive experience of python programming, deep neural network analysis, and large language models. Ability to work independently and generate innovative, out-of-the-box research ideas. Ability to work
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temporary migration influences pathways to long‑term settlement. Working with leading researchers across the Australian National University and the University of Western Australia, you’ll analyse large‑scale
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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. The UCL GOS Institute of Child
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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) - Strong quantitative/data skills (e.g., Matlab/Python/Origin/JMP) for processing large datasets, fitting models, and producing publication-quality figures. - Track record of technical writing (peer-reviewed
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of multi-disciplinary members, based within Oxford Population Health at the Big Data Institute. To be considered you must hold a relevant PhD/DPhil in one of the following subjects: statistical
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effectively and efficiently with large scale electronic healthcare data (such as CPRD, MINAP, HES) applying advanced statistical modelling and causal inference techniques. What we offer in return 26 days