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, biomonitoring, and toxicity data. Key responsibilities: Lead UCAM's contribution to Task 5.2, including modelling of respiratory deposition of indoor particulate matter and estimation of exposure to aerosol-bound
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/or oceanography; or experience working with numerical simulations, large data, scientific programming, and/or machine learning. Applicants are asked to send a CV, a brief statement of research
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B cell lymphomas including diffuse large B cell lymphoma and Burkitt lymphoma. They arise as a byproduct of somatic hypermutation, when the enzyme activation-induced deaminase (AID) generates DNA
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Associate to build a research program to tackle these key issues, reporting directly to Professor David Edwards. The successful candidate will work with large datasets, including leveraging large-scale global
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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, interdisciplinary environment. Additional Qualifications Prior experience with one or more of: ● Health claims data, EHRs, or other large-scale health/administrative datasets. ● Environmental, climate, or air
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large-scale inference. Familiarity with modern AI environments and tools. Prior experience applying AI to seismology or related Earth science domains. Contact Information: Corinne Engber 20 Oxford St
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, neural data analysis, or modeling neural activity from large-scale recordings. Ability to work effectively in a collaborative research environment and communicate technical work clearly. Additional
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track record of peer-reviewed publications commensurate with career stage. Additional Qualifications Prior experience with one or more of: ● Health claims data, EHRs, or other large-scale health