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of disseminating research to both academic and industrial audiences. Qualifications PhD (or close to completion) in Computer Science, AI, Data Science, Machine Learning, Edge Computing, Signal Processing
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a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical Machine Learning and AI methods, or applied mathematics, to solve challenging
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data
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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
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, machine learning models will be used to produce planning models for potential e-scooter/e-rickshaw stations (docking and charging). Findings from this project will contribute to evidence-based, community
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developing and implementing machine learning/AI solutions using relevant languages and frameworks Excellent communication skills and proven ability to collaborate with diverse stakeholders Technology and
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The University of Essex offers an exciting opportunity for a Senior Research Officer in Machine Learning to work on out-of-distribution generalisation for tabular data, under the EPSRC-funded
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methods based on AI and machine learning. You will develop compuaitonal methods and build models of proteins and develop and apply tools for structure prediction. You will simulate protein complexes and
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, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
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in the world and will develop skills in machine learning, observational and theoretical astrophysics. For more information on this project please contact s.littlefair@sheffield.ac.uk Information