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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 18-Mar-26 Location: Berkeley, California Type: Full-time Categories: Academic/Faculty Social/Behavioral Sciences
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image processing - Taste for interdisciplinary environment: physics, chemistry and biology - Good interpersonal skills (enthusiasm for research), able to work independently as well as in a team, taking
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; project management, CAD tools, prototyping, machining, assembly, integration, testing and operation of custom-built instruments. Scanning Tunneling Microscopy Including Spectroscopic Imaging, Josephson and
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of forest traits and uncertainties. Where to apply Website https://app.skeeled.com/s/J33VQevN Requirements Research FieldEnvironmental science » Earth scienceEducation LevelPhD or equivalent Skills
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) milling. This programme will involve state-of-the-art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate
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resistance of MMC coatings. Identify bottlenecks and limitations in manufacturing workflows and propose engineering solutions. Contribute to prototype development, quality assessment, and performance
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Position Title: Veterinary Technician I Job Group: Merit Required Minimum Qualifications: • Associate or Bachelor’s degree in a veterinary technology program accredited by the American Veterinary
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 10 hours ago
responsible AI. You will be a part of creating a Reviewer Checklist and a prototype AI assistant that demonstrate how analytical rigor and technology can advance FDA’s public health mission. This experience
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to Search Associate Research Professor, School of Mining Engineering and Mineral Resources Posting Number req25464 Department Sch Mining Engr Mineral Res Department Website Link https://mining.arizona.edu
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time