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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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computer chips. Your role will be to design processes for transforming resources into sustainable materials by modeling reaction pathways from first principles. The project will collaborate with a broad
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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) Investigating the effects of bile acid metabolites on CDI pathogenesis This position offers training in mucosal immunology, microbiology, single-cell transcriptomics, and animal models of infection. Candidates
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graduate and undergraduate students, as well as summer medical students, in their research projects. Additionally, the Fellow will contribute to maintaining animal models, and tissue culture, and performing
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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environment. • Other desirable attributes: self-motivated, organized, meticulous, efficient, and flexible. Experience: • Applicants with research experiences of at least 4 years in mouse models and/or molecular