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                studies linking preclinical discoveries to clinical trials in radiation oncology. Innovative imaging and biomarker development to track response to ultra-high dose rate therapy. The postdoctoral scholar 
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                samples for downstream molecular applications such as RNA/protein extraction, histological staining, and spatial imaging. Maintain and manage mouse colonies, including genotyping and timed pregnancies 
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                ://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Engages in image acquisition with clinical MRI scanners. Post-processes and analyzes 
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                pluripotent stem cell (iPSC) cultures is advantageous. Knowledge of flow cytometry, cell sorting, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively 
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                genetic analyses of amyloid imaging identify new genes for Alzheimer disease ”, Acta Neuropathol Commun, 2023 PMID: 37101235 Working Conditions: This position works in a laboratory environment with 
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                duties include: Cell culture work – organoid generation and 2D/3D cell culture Microscopy – immunofluorescence and confocal imaging Molecular bench work — basic molecular skills are required (molecular 
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                , advanced imaging) to uncover the cellular and molecular programs that drive tissue regeneration. The fellow will have the opportunity to work with small animal models and clinical specimens, translating 
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                cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment 
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                Description The Kim Lab is seeking a full-time postdoctoral scholar with experience in single-unit/LFP recording and/or calcium imaging in rodents. This NIMH-funded position focuses on investigating the neural 
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                models for each study site, informed by sensor networks and image-based observations. Conduct cross-disciplinary geospatial analyses linking modeled flooding patterns with soil pathogen and participant