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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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objective of the successful candidate will be the implementation of advanced fast MAS solid-state NMR, and also the set-up of DNP approaches. The goal is to study structures of the viral membrane-bound
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responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues. 15 Establish and sustain a track record of independent and joint published research
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quantum engineering. The ideal candidate will have a solid track record of experimental research, preferably in low-temperature condensed matter physics, quantum physics, quantum engineering, or related
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techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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and function in a collection of maize germplasm exhibiting diverse levels of yield stability under drought stress. The high-level objective of the research is to characterize the processes of water
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microbiota composition and function in a collection of maize germplasm exhibiting diverse levels of yield stability under drought stress. The high-level objective of the research is to characterize
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statistical analysis and modeling techniques such as Gaussian process modeling, data assimilation, and Bayesian analysis; and 4. Open-source scientific software development. Expertise in computational
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Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary