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Field
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biodiversity trends and they will develop and undertake analyses of biological change in response to human perturbation of the Earth system over different spatial and temporal scales. Key responsibilities
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required to produce maps and perform simple spatial analysis for other members of the project. They will be involved in publications, with opportunities as both a first and co-author, and will also engage in
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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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statistical and spatial analysis. Skills in conceptualization, design, and production of complex data visualizations to clearly communicate analytic findings. Strong critical thinking, analytical, problem
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in one domain who are motivated to expand into the other. We also welcome purely computational applicants with interests in phylogenetics or advanced single-cell analysis, as well as purely
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
occurred during the October 2024 CCAMLR meeting: the expiration of Conservation Measure (CM) 51-07, which previously mandated that the maximum annual allowable catch of 620.000 t be spatially distributed
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing