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Field
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electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the intersection of molecular biology and systems neuroscience, gaining a unique
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hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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. Required Qualifications: A doctoral degree (PhD, MD, or equivalent) conferred by the start date. Proficiency in R/Python Experience with scRNAseq, and/or spatial proteomic/transcriptomic data analysis Growth
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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, developmental biology, genetics, biomedicine, or another appropriate field. Previous experience in confocal imaging and image analysis, scRNA-seq data analysis, or genetically engineered mouse models is
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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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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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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