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behavioral analysis to uncover how molecular pathways shape brain function, aiming to bridge molecular and systems neuroscience. Our core platforms include: 3D & 4D confocal fluorescence microscopy 1P & 2P
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analytic tools. Possible directions within this project include: Single cell functional epigenomic profiling. Functional analysis of 3D genome organization. Human genomic studies of large gene families. You
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clear data presentation, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Previous
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colony administration, genotyping, confocal and large scale microscopy, molecular biology techniques (RNA preparation, single cell RNAseq library prep), large scale data analysis. The candidate will
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metabolism or biomedicine, including the analysis of large-scale structured or unstructured health or biological data, such as electronic health records or biobank datasets, again ideally with publications
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not have been acquired earlier than 2020) * Proven experience in the analysis of multi-omics data (proteomics, metabolomics, and/or genomics, transcriptomics) * * * * Strong expertise in machine
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus
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technical expertise but must also contain a well-defined training element and a qualification plan must be established for the scholarship period. Biostatistical competence and experience in working with
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lead the in vivo functional analysis of this gene using conditional KO mouse models, with a focus on brain development, neuronal differentiation, and seizure susceptibility. All models are already
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to: culturomics, metagenomics, metabolomics and computational analysis.