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Field
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analysing B-cell receptor (BCR) transcriptomics data from VITT cases and control groups, performing transcriptomic analyses to understand post-vaccination immune responses, and conducting structural analysis
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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to evaluate epithelial polarization, differentiation and barrier function. Perform functional assays including permeability measurements, transporter activity analyses and transcriptomic studies. Analyze
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10X controllers, spatial transcriptomics profilers, PCR machines and flow cytometers. About You You will hold a PhD/DPhil in immunology or related area with post-qualification research experience
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cells, generate single-cell DNA methylation and transcriptomic libraries, and functionally evaluate therapies targeting resistant states using cell and organoid models. As the first postdoctoral
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limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine. Required
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infection leaves durable epigenetic and transcriptional scars that shape long term immunity, inflammation, and lung repair. This position is ideal for scientists excited to combine single cell transcriptomics
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integrating transcriptome, chromatin access and transcription factor binding datasets at bulk and single cell resolution with the aim to connect these profiles with the underlying regulatory networks, and
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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Research Associate will design and perform infection and time-course experiments, generate and analyze host and bacterial transcriptomic data, and integrate phenotypic outcomes with differential gene