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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
scale analysis of multiplex spatial phenotyping across the tumor microenvironment with the possibility of integration of spatial transcriptomics. At the bench, the postdoc will perform confocal imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
scale analysis of multiplex spatial phenotyping across the tumor microenvironment with the possibility of integration of spatial transcriptomics. At the bench, the postdoc will perform confocal imaging
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Posting Details Position Details Title Postdoctoral - Pediatric Brain Tumors (Tailor Lab) Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Neurological Surgery Campus IU School
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injection, and cardiac/muscle lead surgery. Work autonomously to plan, conduct, and troubleshoot experiments recording various biosignals such as EEG, EKG, blood pressure, plethysmography, and breathing
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in evolutionary biology, ecology, plant biology, genomics, bioinformatics, computer science, plant
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handling. Experience with image processing. Experience with MATLAB. Excellent written and oral communication skills. Demonstrated ability to function well in a fast-paced research environment and set
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the Joint Department of Biomedical Engineering Department, based at UNC Chapel Hill. This research position will lead research in advanced ultrasound imaging technologies. Potential projects include super
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programming; experience in Python for machine learning and/or digital image processing is preferred. Strong communication skills, both in formal written reports/manuscripts and oral presentations. Language
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vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out diversity and dynamics
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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National