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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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, following departmental policy and procedure. Positions and immobilizes patients according to the treatment plan and effectively evaluates images according to standard guidelines. Mobilizes patients using
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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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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer
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of bioinformatics and computational biology. The lab’s research program focuses on developing computational methods for high-throughput genomics technologies and integrating data science and experimental approaches
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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and an inviting sports programme at discounted rates. Selection process Interested candidates should send an application, including a cover letter, CV, references, and copies of degree certificates in a
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 5 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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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu