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Missouri University of Science and Technology | Rolla, Missouri | United States | about 14 hours ago
with an interest in developing novel methodology that complements our strengths in spatial and spate-temporal statistics, AI, and data science with substantive application interests (e.g., precision
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses
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plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Postdoctoral Research Fellow (PDF) will support the Spatial Science/Synthesis component of the project
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morphology, cell viability, epithelial organization, barrier-related readouts, and model reproducibility across experimental batches. 30% — Tissue processing, histology, imaging, and spatial-omics preparation
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/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite
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; 4 years of relevant experience in computational image analysis and spatial statistics required with High School diploma or GED, 2 years of relevant experience in computational image analysis and
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to apply Website https://iventajobdata.eu/bestmedia/img/2502621/2003273/cl/147a658ff5227583c5e60… Requirements Specific Requirements Your personal sphere of influence: The Department of Behavioral and
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experimental studies with insights from human populations. We use single-cell and spatial genomics, epigenomic profiling, microbiome analysis, and large-scale human datasets to uncover biological principles in
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in size and scientific scope. The position will also support additional collaborative projects involving single-cell RNA sequencing, spatial transcriptomics, and other emerging multi-omic technologies
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advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological background, previous research experience and scientific