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Field
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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have expertise in working with animal disease models, single-cell and spatial RNA sequencing technology, and a solid understanding of the CNS immune landscape. Additionally, applicants should have at
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Postdoctoral Scholar to conduct research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: either spatial analysis using GIS
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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of archaeological, bio-archaeological, isotopic, and spatial datasets; Conduct research activities with project partners in the Cyprus, the Netherlands, and beyond; Publish and present the work in international peer
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metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving
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the recently published work of Spateo for spatiotemporal modeling of whole mouse embryos with 3D single cell spatial genomics: Qiu et al., Cell (https://doi.org/10.1016/j.cell.2024.10.011 (link is external
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by the fellow, with the remainder on other urban freight projects. Examples of potential research areas include: Urban freight modeling and planning Decarbonization E-commerce and its impacts Emerging