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computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a
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. Organize, assist and access MSTP courses: Molecules to Medicine, Clinical Case Studies, Physician Scientist Seminars, F-30 workshops, PhD information sessions, Summer & Winter Research Symposiums and MSTP
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Provide supervision and training to junior staff, PhD students, and interns as needed Take responsibility for data management, reproducibility standards (GitHub, RMarkdown, OSF), and adherence to data
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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validation of the simulation will be performed using data collected by the ATLAS experiment. The PhD will facilitate experience and knowledge opening up career routes into traditional academic roles in high
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will contribute to our ambitious research agenda and helping to establish QUB as an international leader in Large Scale Data Management research and the application of this research to real-world
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between the two colleges. The line in digital health with a focus on big data and AI and supports the scope of the University’s Health Innovation thrust area. Candidates must hold a PhD, MD/PhD or
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water security issues in Australia. Experience in programming and working with large spatial and time series data sets. For full details about this role please review the Position Description . Not sure
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providing collisions at an unprecedented energy of 13.6 TeV, delivering the largest amount of available data yet. The ATLAS experiment itself is a general purpose detector that allows to study a large range