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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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, investigate error mitigation techniques Cooperate and actively work with international collaborators Your Profile: Master’s degree in physics, mathematics, or computer science Strong interest in both developing
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only system in Australia’s National Influenza Surveillance Program documenting community ILI incidence and respiratory virus self-testing. The FluTracking team is a highly skilled and motivated group
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institutions around the world Continuous scientific mentoring by your scientific advisor as well as feedback and wide-ranging expertise from the whole group in multiple facets of quantum technology and
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, master’s degree) in transportation, computer science or related fields experience with transport models and/or simulation tools interest in interdisciplinary research on the analysis and modeling
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or equivalent in statistics, mathematics, computer science or similar. In case of a foreign completed degree (M.Sc.-level), this must correspond to a minimum of four years in the Norwegian educational system
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to complete a PhD on the multiple and contested practices, norms, and understandings of GenAI among academic users in their research and publishing activities. The scholarship is part of the Generative AI and
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 7 hours ago
annual Ph.D. recruiting rate is $82,338. Who can Apply You are eligible for the Research Associate Program if you possess a Ph.D. in natural science or engineering or a Master's degree in an engineering
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI