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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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interface of developmental/stem cell biology, immunology, and computational systems analysis in a highly collaborative and multidisciplinary environment. Qualifications Required: PhD (or nearing completion
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electrophysiology: Proficiency in whole-cell patch clamp recording, acute slice preparation, and/or cell culture electrophysiology, along with related data analysis methods using tools such as MATLAB or Python
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if the function of candidate seed developmental regulators is conserved in the fern archegonium through the creation and analysis of Ceratopteris transgenic lines. Resolve the relationship between
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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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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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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to improve model simulation, and attribution of the impacts of SAI Design further AI/ML approach to test hypothesised mechanisms that emerge from the analysis Main Duties The responsibilities may include some