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supervision. Prepare, process, and ship specimens/samples accurately under well-defined requirements. Provide support for in silico 3D reconstructions of gross brain images and tissue and fluid-based
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engineering, or a related field is required at the start date. The budgeted salary range for the position is $170,000 - $250,000 for a 9-month service basis, paid over 12 months. Salary is competitive and
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 2 months ago
11 Mar 2026 Job Information Organisation/Company Sorbonne Université SIS (Sciences, Ingénierie, Santé) Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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skilled Data Engineer to drive scientific innovation through robust data infrastructure. You'll build a large-scale foundational microscopy image dataset and develop scalable data processing pipelines
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for implementation in 2027. We are particularly interested in hiring qualified instructors with expertise in Radiologic and Imaging technology to support and expand the B.S. concentration area. Mission The mission
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DESCRIPTION • Advanced imaging and diagnostic services in North Seattle • Radiology at UWMC-Northwest is equipped with the advanced diagnostic imaging technology available. Our board-certified radiologists have
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to diagnose and/or treat cancer. The post will be in the Department of Physics and Astronomy, but the successful candidate will be expected to forge strong collaborative links between the Cockcroft Institute
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models of epilepsy, mouse behavior, and large scale optical imaging techniques. Weekend work may be required. Job duties: 50% - Perform laboratory research The candidate will work closely with
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The German Aerospace Center (DLR) and the Faculty of Engineering, Computer Science and Psychology at the Ulm University are seeking in a joint appointment procedure (Jülich model) a university
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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and