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The Gliomics Research Group (https://www.gliomics-lab.com/) is located at the Center for Neuroscience at UC Davis. Our group is interested in understanding the genetic regulation of microglia states
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with the project team; 2. Choice of technology; 3. Prototype development; 4. Design of prototype evaluation methodology; Execution of the evaluation and analysis of results; 5. Correction of any
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, fairness, privacy, or explainable AI. Experience with biomedical image processing, radiomics, or digital pathology. Scientific programming on Linux or high-performance computing environments. LICENSES
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Southern Illinois University - School of Medicine | Springfield, Illinois | United States | 2 months ago
for ultrasound examination/procedure including the paperwork. This involves using the EHR to appropriately gather pertinent information. D.Assist attending physician in the performance of obstetric and gynecologic
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mobile devices or other photography equipment and the ability to select, edit, and appropriately use images for social media, web, newsletters, and promotional communications. Additional Requirements
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cardiovascular research programs. The successful candidate should be a medical specialist in Cardiology with solid clinical expertise and experience in cardiovascular imaging and interventional hemodynamics
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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Procedure: Interested parties should submit a resume and cover letter describing qualifications on-line at https://hr.cornell.edu/jobs under staff positions section. When applying through our system, please
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-resolution imaging implement and test novel instrument concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory
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) project MicroMan4Health (website: https://www.microman4health.eu/ ), Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The shift from process-centric to data-centric