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processors. The candidates will contribute to topics including: The offline and online calibration of learning systems through methods such as conformal prediction, hyperparameter optimization, and reliable
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advanced numerical simulation and/or optimization tools to the design and characterization of the facility; interact with other technical groups working on the Diamond-II design (e.g. Engineering
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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addition, to add time and spatial resolution, we will optimize FRET-based probe for specific metabolic pathway. The post holder will be responsible to establish methodologies, develop the project, perform