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pattern including annualised hours, compressed working hours, part time, job share, term-time only and/or hybrid working. Details of preferred hours should be stated in the personal statement and will be
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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terms of stem and progenitor cell and lineage reprogramming. Studies are at the cellular and molecular level using novel molecular and imaging methodologies to understand processes and cell interactions
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techniques, image analysis, genetic manipulations, biophysical approaches, and collaborate with theoreticians to address these questions. The specific details and aims of the project will be driven by
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of immune cells as key regulators of the tumor microenvironment. Collaboration with pathologists for tissue imaging correlations and with computational biologists is expected. The work will largely involve
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: * Advanced training in neuroanatomy, histology, quantitative human neuropathology, and molecular technique * Opportunities to correlate brain pathology with antemortem clinical and imaging data
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, hybrid, and highly collaborative lab. This computational genomics postdoctoral fellow candidate is expected to leverage the single-cell/bulk-cell multi-omics data, spatial omics data, and image data
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, as well as cutting-edge technologies, including 10x Genomics, spatial transcriptomics, and fully automated imaging systems for tissues and cell cultures. This is an excellent opportunity for a
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-fixed or freely moving mice, including recording and analysis of large-scale neural activity recordings acquired using in vivo extracellular recording techniques or two-photon imaging. About the role
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/proliferation, and with innovative and integrated approaches in single cell analysis, advanced imaging microscopy and genome manipulation technology (Science 2008, 2012, 2019; Circulation 2021; Science Advances