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of the Law, Policy and Engineering (LPE) Initiative in the College of Engineering, is recruiting for a one-year Science & Technology Policy Fellowship focused on Artificial Intelligence (AI). The STP
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of artificial intelligence, molecular medicine and health data science. There are two positions, whose profiles support one another. The selected candidates will contribute to SWAN’s AI strategy by conducting
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of biological, artificial, and collective intelligence through collaboration across a wide range of fields. We seek enthusiastic scientists and scholars who will embrace the chance to help set the agenda for our
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Healthcare Technologies (CDHT) and the Artificial Intelligence Collaboration Centre (AICC). Collectively, these investments will transform the capabilities and competitiveness of the NI Life and Health
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Healthcare Technologies (CDHT) and the Artificial Intelligence Collaboration Centre (AICC). Collectively, these investments will transform the capabilities and competitiveness of the NI Life and Health
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knowledge of personal computers and relevant software programs (e.g., data entry, word processing, spreadsheets, qualitative and quantitative data analysis software) such as Microsoft Word, Excel, PowerPoint
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will assist the project leader in the research project - “AI-based fashion video generation system”. They will be required to: (a) take part in design and carry out artificial intelligence, machine
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] Subject Areas: Complex Systems Machine Learning Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine Learning Theoretical Physics / Statistical
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health risks or co-occurring adversities; mental health; risk and resilience in response to race- or weight-based stigma and discrimination; use of artificial intelligence (AI) and technology to address
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will join Andrej Prša’s research team and work on the PHOEBE code , developing the modeling proxy based on artificial intelligence (AI). The goal of the AI-powered model is to enable the autonomous