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for the game changing impact of our science globally. Click here to find out more about working at the John Innes Centre. About the Howard Group: The Howard group combines mathematical and biophysical modelling
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, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems
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Qualification Position Summary A full-time Postdoctoral Fellow position will be available starting July 17, 2025. Dr. Daisy Dai, Associate Dean for Research, is currently offering an NIH-funded postdoctoral
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Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based on autofluorescence (AF) imaging
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, or a related discipline, and must have a strong research track record, experience with cell culture model systems, proficiency in flow cytometry, confocal microscopy or other advanced imaging techniques
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in basic cellular and immunological methods, including multi-color flow cytometry, ELISA, cell killing assays, experience with analysis of human samples, and extensive experience with mouse cancer
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and assessment of ocular inflammation models, such as intravitreal injections, ocular imaging techniques and flow cytometry. Moreover, applicants will perform a variety of additional procedures such as
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transcriptomics, flow cytometry, and murine solid tumor models. This postdoctoral position is federally funded through a T32 training grant. Thus, applicants must be US Citizens or Permanent Residents. St. Jude is
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methane production and emissions across various freshwater systems, with an emphasis on monitoring and modeling research. Compile and analyze current scientific data on CO2 and CH4 emissions in freshwater
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical