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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Neutron-X-ray Imaging for Defect-Stress
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experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
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programs and navigate multiple payor websites. Ability to utilize multiple computer programs. Preferred Qualifications Dental office experience. Prior experience with dental billing. Confidential
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will aim to study the morphogenetic processes occurring
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Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer science, engineering, linguistics
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alarm systems. Basic computer skills for completing reports and using security or scheduling systems. Familiarity with college or multi-site campus environments. Operation of a State Vehicle Yes
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. for students in the new Bioengineering PhD program), including the design of custom microscopy setups for specific imaging applications. This position will be appointed at the rank of Professional Specialist
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
development and evaluation of algorithms and software systems that advance these practices in support of artificial intelligence. Education and Experience: Experience implementing informatics/bioinformatics
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: Selecting appropriate ultrasound equipment and ancillary equipment required by individual echo study. Set up procedure room. Assessment of echo orders to identify specific pathology requirements in imaging
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detection and image-guided surgery for pancreatic ductal adenocarcinoma (PDAC). Our laboratory develops biocompatible, near-infrared (NIR) chemiluminescent chitosan-based nanoparticles (CNPs). By combining