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quantitative, data-analytic, and writing skills who are eager to apply these abilities to questions in regulatory science, pharmaceutical policy, and the evidentiary basis of medical product regulation
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
Primary supervisor Sicily Fung Fung Ting Co-supervisors KokSheik Wong Dr Patrick Tan Hock Siew Prof. Qasim Ayub Dr. Sara Subhan Dr. Aswini L. Loganathan Research area Data Science and Artificial
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a
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are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships
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found at: https://ivh.ku.dk/english/ . Project description The PhD student will be responsible for developing a PhD study which is based on activities in the above-mentioned projects and monitoring of
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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areas such as statistical modeling, machine learning, intensive longitudinal data analysis, micro-randomized trial design, natural language processing, Al applications in digital health, and real-world