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world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our
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Department: Col of Engineering and Computing Classification: Education Support Spec 3 Job Category: Classified Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location
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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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benefits that include education benefits, health and wellness benefits, and a generous retirement plan. Information about these and other benefits can be found on the University’s HR website: https
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Stanford Medicine, Catalyst serves as Stanford Medicine's flagship innovation program to support inventors across the Stanford community in developing and accelerating their most promising innovations
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scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on
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, artificial intelligence, and critical infrastructure protection. Research Topics The PhD research will focus on one or more of the following areas: Detecting, predicting, and preventing hybrid and cyber
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topic (5 pages maximum, including references), detailing the overall research and data collection strategy. We offer: 4-years PhD degree programme at Tallinn University of Technology (One of the top
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diseases, mucosal immunity, or autoimmune/allergic disorders; and experience linking computational findings with experimental validation in the laboratory. For Artificial Intelligence for Drug Discovery
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Systems) platform https://www.ietr.fr/en/m2ars-manufacturing-measurement-analysis-radiati… , with experience in advanced antenna metrology and prototyping. The PhD student will conduct a literature review