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opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach
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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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methods for load identification and modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM
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modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM framework to accommodate new components
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research profile and reputation and that of the University of Glasgow/School/Research Group/area, including establishing and sustaining a track record of independent and joint publications of international
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establishing and sustaining a track record of independent and joint publications of international quality in high profile/quality refereed publications, enhancing the research impact in terms of economic
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to finance sectors. A track record of first author and/or collaborative publications in high quality journals and international conferences (Finance, AI, NLP related publications). Strong relevant research
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. Demonstrable experience in the use of machine learning potentials. Ability to fit molecular mechanics force fields. A proven track record in developing computer code and software engineering. Excellent written
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, development, and evaluation of interactive platform features as part of the research methodology, collecting and analysing data on user engagement through tools for feedback, co-creation, and project tracking
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About the role This is an exciting opening for an Adult Physician with demonstrable expertise in controlled human infection models an exceptional track record in grant funding and publication