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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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a global leader in research. The School of Infection and Immunity https://www.gla.ac.uk/schools/infectionimmunity/ is driving innovation in immunology, parasitology and infectious disease, a combined
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Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offerEmbedding within a computational team, with extensive experience in computational biology and
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Statistics or Mette Olufsen or Kevin Flores from Mathematics. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or
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. Consequences for ecosystem services will be identified using context-sensitive spatial models developed by UKCEH for air pollution removal, urban carbon stocks, cooling etc. and for biodiversity. ii) Drivers
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for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology, and spatial ecology. Evidence of ability to work collaboratively as well as independently
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references.. The Michigan Neuroscience Institute is an inclusive workplace that encourages individuals from diverse backgrounds and with diverse experiences to apply. Please visit: https://medicine.umich.edu