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Field
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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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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
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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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strong background in both robotics and machine learning, with first-authored publications in the leading international conferences/journals in robotics. Candidates should have experience in some or all
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Interview Date: Tuesday 30 September 2025 The Benedetto lab is looking for an enthusiastic bioinformatician or computer scientist to join a wider collaborative project, studying how the gut-brain
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of specialist knowledge demonstrated by a PhD (or nearing completion), or equivalent qualification/experience, of the core knowledge relating to genomics and/or health data science in order to teach
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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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for engineering biology. GBI researchers will also be supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine
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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