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The successful candidate will have extensive experience with bioinformatics (the analysis of bulk and single-cell high-throughput datasets) and will contribute to a research program investigating
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websites and reports (using web scraping tools), qualitative content analysis, as well as data collection through surveys and focus groups. The successful candidate will be expected to take the lead and
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for students, line-manage Research Assistants and D.Phil. students, mentor on methods, analysis and career development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g
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Job Description The postdoctoral researcher will conduct independent and collaborative research on projects involving molecular, cellular, and circuit-level analysis of thermosensory systems across
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(Angola). Against the backdrop of accelerating verticalisation in African cities, VERTICAF offers the first systematic and diachronic analysis of how cities are expanding not only horizontally but also
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with analysis of large health databases Demonstrated experience with applying advanced machine learning methods to multimodal data Demonstrated strong technical writing skills Experience with grant
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demonstrable expertise in developing and running data processing and analysis pipelines for a range of bulk and single-cell/single-nucleus genomic datasets, including RNA-seq, ATAC-seq, Perturb-seq, and whole
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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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approaches, elicited production, naturalistic language sample analysis, and eye tracking methods. The ideal candidate is organized, detail-oriented, resourceful; and has excellent data management and analysis
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team