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with the Department of Medical and Translational Biology and the Department of Statistics at Umeå University, as well as Umeå Center for Functional Brain Imaging (UFBI). The research environment conducts
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methodologies Experience of advanced multi-parameter flow cytometry, cell imaging and data analysis Experience in statistical methodologies Excellent written and verbal communication skills Publications in peer
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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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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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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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imaging techniques and/or behavioral testing in rodents is advantageous. It is an advantage to have expertise in genetic cell tracing techniques. Experience in managing mouse colonies with multiple
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biology (cryo-EM, X-ray crystallography, NMR), chemistry, biophysics, cellular imaging, etc. and the lab also has expertise and equipment for mass spectrometry including Bruker timsTOF (HT/Ultra) and
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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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, 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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Quezada (UCL Cancer Institute) and Prof Mark Lythgoe (UCL Centre of Advanced Biological Imaging). This project will build on a strong track record of significant discoveries in the field of tumour