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Field
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learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging
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of biogeochemical processes with an emphasis on terrestrial ecosystems Development of observational techniques to monitor and assess biogeochemical feedbacks in the Earth system Theory and model development
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Job Description Are you passionate about the green energy transition? Do you wish to contribute to the development of solutions to support the increasingly renewable power grid? This fully funded 3
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interest in social theory to join the workstream ‘Co-creating Concepts of Care.’ The expectation of the successful candidate is twofold: 1) To co-develop and conduct their own PhD project on how racialized
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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Location: South Kensington campus About the role: Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus
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, smart materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving
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LC models that will combine the accuracy of molecular models, which contain information about molecular shape and interactions, with the efficiency of continuum theories. We will compare the multiscale
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, you will develop highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably