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(Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill
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and education purposes, and use data science strategically to support the Institute’s mission. Qualifications: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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, real-time 3D graphics, Metaverse design and deployment, digital twin technology, natural language processing, transformer based language models, generative image models, generative models for structured
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of relevant industry experience and/or research in the areas such as: machine learning, artificial intelligence, natural language processing, transformer based language models, generative image models (e.g
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion