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differences in cognitive development. The overarching goal of the MPC is to understand the cognitive and neural underpinnings of neuropsychiatric disorders. Computational models of differences and changes in
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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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cutting-edge approaches to assessment which will benefit learners and teachers worldwide. The successful applicant will focus their research on the development of technology for language teaching, learning
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will sit within the Department of Applied Health Sciences and will support the delivery of the NIHR Research Professorship awarded to Professor Joht Singh Chandan (NIHR306365, https
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(AMR). The successful candidate will join our Advanced Sensors team and contribute to the One Health Environmental Sensing project, which focuses on the development of novel sensors to enhance
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information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong interest in the human microbiome, clinical test development and have proven relevant
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to contribute to a range of projects including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment
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. For this, experiences in working with artificial flow simulators (flumes) such as the Birmingham EcoLab ( https://www.birmingham.ac.uk/research/centres-institutes/ecolaboratory ) and modelling will be highly desired
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and clathrin (PMID: 29921601 and BioRxiv https://doi.org/10.1101/2025.08.20.671218). Septins act as a restriction factor that suppresses viral release from the cell, while clathrin enhances viral spread
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning