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Field
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, and analysis of spatial data, using Geographic Information Systems and Artificial Intelligence (AI), and integrating multiple technologies and methods (for example: geographic and statistical databases
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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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Details Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position
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of Cell and Developmental Biology at the University of Michigan Medical School and faculty member of the Michigan Neuroscience Institute, Single Cell Spatial Analysis Program in the Biosciences Initiative
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vulnerability Single-cell and spatial transcriptomic analysis of treated organoids and tumour Computational modelling of cell state rewiring network Functional validation of identified targets in various tumour
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and data handling - information provided in the CV and/or in the motivation letter; Demonstrated in-depth knowledge of geoprocessing and spatial analysis tools - information provided in the CV and/or in
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imaging, quantitative biophysics and high-resolution electron microscopy to visualise ER–NE architecture across spatial scales - from nanometre-resolution tomography to real-time dynamics in living cells
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://www.uidaho.edu/science/academics/earth-spatial-sciences Position Qualifications Required Experience · Experience developing and applying advanced statistical analysis and modeling to address ecological
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scientific writing skills Preferred qualifications: Hands-on experience with single-cell and spatial transcriptomic analysis Familiarity with multi-omic data integration workflows Cancer biology background
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Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the