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to further improve and extend MLLs as part of a large project to image, understand and ultimately control electron dynamics in molecular systems. To do this, we are combining concepts from X-ray microscopy
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Computational Imaging Lab (QCI Lab) is looking for a Post-doc to conduct research combining microscopy, photonics, and advanced data analysis. The work will involve the development of a unique multiphoton
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national and international collaborators. It is allowed one day of home office per week (flexible) Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5819-MARCAR-001/Default.aspx Requirements
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Title of position: Postdoctoral Associate in Cardiovascular AI and Medical Imaging Department and school: Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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yourself as an international expert in advanced ultrasound imaging and to contribute to technologies that may fundamentally change diagnostic imaging workflows. Where to apply Website https
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(organelles such as chloroplast and protein complexes) in their cellular environment, cryo-electron tomography (cryo-ET) is becoming a pivotal imaging approach. Therefore, CEA Irig is recruiting a researcher to
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Associate I, Immunobiology Posting Number req26998 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ 85719
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planning. Key Responsibilities You will be responsible for: Conducting epidemiological and statistical analyses of linked questionnaire and healthcare data to validate the C -PICTURE algorithm
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plus. Experience operating magnetic resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq