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, R, MATLAB) for data processing and analysis. - Experience in statistical processing of spatial and temporal data. 4) Instrumentation and metrology: - Knowledge of sensors and measurement instruments
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Join a world-class interdisciplinary team using AI, spatial omics and digital pathology
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, Bioengineering, or a closely related quantitative field in hand by the start of the appointment. ● Strong background in one or more of: stochastic processes, probability theory, dynamical systems, statistical
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equation models for Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial
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Science, Global Change Science and/or Macroecology Experience in studying biodiversity patterns across spatial and temporal-scales from regional to global Experience in advanced statistical analyses
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-cell RNA-seq) Preferred Qualifications Background in statistical or population genetics, including variant annotation and prioritization Experience with single-cell or spatial transcriptomics Familiarity
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datasets (bulk, single-cell, and spatial). Primary responsibilities include developing sequencing pipelines, maintaining project databases, designing validation experiments, and drafting manuscripts and
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environment, and communicate clearly through both scientific writing and presentation. Candidates should be eager to develop expertise in stroke immunology and to apply state-of-the-art spatial, cellular, and
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validation, while establishing protocols for sensor calibration, spatial sampling, quality control and integration with Earth Observation data. Develop spatial, statistical and predictive models to investigate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, Competencies, and Experience Strong programming skills in Python and/or R. Experience analyzing high-dimensional biological data, especially single-cell sequencing data. Strong statistical and quantitative