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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning
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engineeringEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelExcellent Research FieldEngineering » Computer engineering Additional Information Website for additional job details https
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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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competency checklist Preferred Qualifications Advanced training in computer-based image management systems Familiarity with advanced echocardiographic imaging and intracardiac procedures performed in
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partners. Subject area for the position: Computer and information science Location until further notice: Växjö. Since Linnaeus University is located in both Växjö and Kalmar, travel between the two may be
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big-picture questions. Preferred Qualifications: Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar). Familiarity with natural language processing (NLP
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imaging, molecular biology, genetics, biochemistry, functional assessments, and immunolabeling. Designs research protocols. Assists in developing and conducting research projects, including experiment
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willingness to learn to perform new techniques. Preferred Experience with mammalian tissue processing (dissections, cryopreservation, sectioning, imaging, etc.). Experience with 2D mammalian cell culture and/or
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, if applicable. Enrolment in Master's degree in Informatics or Informatics Engineering or Data Science. Work plan: The objective is to develop a prototype system for the registration of medical images, namely
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 3 days 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