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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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-performance computing is an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific
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to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art
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against experimental x-ray scattering data. Ability to perform the essential functions of the job with or without reasonable accommodation. Preferred Qualifications Solid-state synthesis experience
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against experimental x-ray scattering data. Ability to perform the essential functions of the job with or without reasonable accommodation. Preferred Qualifications Solid-state synthesis experience
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 2 months ago
which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication to create a space where
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Discipline Computer Science , Engineering & Technology Job Type Academic Posts , Research Fellowships , Postdocs Apply now Save job Click to add the job to your shortlist Send job Job Details GMSI
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growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national
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in the National Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of