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spatial transcriptomics derived from rodent models or human samples. o Oversee data processing, quality control, and computational analysis to ensure high accuracy, reproducibility, and adherence to best
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MINFLUX: data acquisition and new data/analysis tools Spatial Chemical Composition using label-free-IR imaging Converting cryo-electron tomograms into images for WCMs and Minecraft Studies on organelles in
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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datasets (e.g., single-cell RNA sequencing, spatial transcriptomics) from human and mouse preclinical and clinical studies. Preprocesses, manages, and analyzes large, multi-dimensional clinical and
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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. Primary disaster event response responsibilities include providing a wide range of geospatial data collection, imagery collection and analysis with geographic information (GIS) systems to provide spatial
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Microwave Spectroscopy system. This technology will unlock an unprecedented combination of ultra-high bandwidth and adaptable spatial resolution, allowing for the simultaneous, multiscale measurement
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-dimensional vision, ability to judge distance and spatial relationships) and ability to adjust focus (ability to adjust the eye to bring an object into sharp focus). Work Environment: Environmental conditions
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therapy. This project will use state-of-the-art single-cell and spatial transcriptomics to characterize ependymoma and its immune TME. You will perform these experiments and analyze the composition