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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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- the School of Innovation & Technology (SIT) the School of Design, the School of Fine Art and the Mackintosh School of Architecture. The School of Innovation and Technology combines academic study at
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, implementing, and optimising advanced neural network architectures tailored to biological sequence and network data, with a particular focus on RNA-mediated gene interactions. Applying interpretable machine
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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and visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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academic environment. We place great importance on the intellectual contribution our Research Fellows make to St John’s, and on creating the conditions to accelerate their progress towards outstanding
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:00pm Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior
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to the work duties listed above Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the
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Job Purpose To make a leading contribution to the EPSRC-funded project “Designing Interaction Freedom with Active Inference (DIFAI)”, working with PI Professor Roderick Murray-Smith and Co-Is Dr