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procedures. Job Description Primary Duties & Responsibilities: Performs nuclear medicine imaging and therapy (preparing the dose, administration, camera QC, etc.). Primary liaison to PI in developing plans
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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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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
in processing spatial data, images, or point clouds, an interest in applying artificial intelligence methods in natural science research, an interest in interdisciplinary research work, passion for
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bicycle scheme; For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive
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according to experience and associated benefits (vacations, support for public transportation fees) Selection process Interested candidates should send 1) a complete CV, 2) a motivation letter, and 3) contact
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sequences that support specialized applications such as functional MRI and diffusion tensor imaging. An intuitive user-friendly interface simplifies operation and offers quieter operation and comfortable
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programme. Further information about the IAC's research programme, its Observatories and the 10.4m GTC is available at the IAC's web page: https://www.iac.es/en Tasks:The successful candidate will pursue
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Posting Information Posting Information Department Biomedical Res Imaging Ctr-426001 Career Area Research Professionals Is this an internal only recruitment? No Posting Open Date 03/12/2026
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on projects (where appropriate) while also thinking and responding to the "big picture" Knowledge of SEO coding best practices, WCAG 2.0 accessibility, and Google Analytics 4 Ability to develop web-based data
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a