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nature, including mathematical biology, mathematical geosciences, applied partial differential equations, environmental and spatial statistics, scientific computing, and the scholarship of teaching and
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learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using
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proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques. Additionally, the postdoctoral researcher will contribute to transforming mining liabilities into valuable
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
benefits and protection from harms. Applicants must have earned a PhD degree in Statistics, or a related area (such as Computer Science, Data Science, Quantitative Social Science, Sociology, Economics
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Environmental science » Earth science Mathematics » Statistics Researcher Profile Established Researcher (R3) Country Netherlands Application Deadline 31 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job
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, industry and the wider community. What we’re looking for: A PhD in geostatistics, spatial statistics, or commensurate discipline. Demonstrated ability to undertake research in spatial data analysis
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in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological
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for coastal ecosystems. You will perform statistical analyses of time series and spatial data on ecosystems and human activities and participate in more holistic analyses of socio-ecosystems. You will also
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the pharmaceutical sciences. More information about the department and its activities is available at uu.se/farmbio. The infrastructure platform “Spatial Biology” at SciLifeLab is currently in a strong phase of
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Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods