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with methods for preparing biological material for scRNA-seq, spatial transcriptomics, and mass spectrometry-based proteomics; familiarity with ex vivo models used in cancer biology research, including
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Skip to main content Recruit Home Open Recruitments Junior Specialist, Spatial Navigation, Sex hormones, and the Aging Brain, Department of Psychological & Brain Sciences (JPF03050) Junior
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding
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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
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to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will
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visualization of spatial data; environmental geospatial modeling, remote sensing and spatial statistics; relational database concepts; identification of spatial temporal turbidity patterns in coastal waters using
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are united in our efforts to understand, explain and improve our world and the human condition. The Department of Statistics employs about 15 researchers, teachers, doctoral students, and other staff. We
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statistics, texture descriptors (GLCM, GLRLM, GLSZM), wavelet-based features, and shape parameters. Particular emphasis will be placed on quantitative assessment of intratumoral heterogeneity through spatial