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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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to generalise, and their susceptibility to known issues related to synthetic data training, such as model collapse. As a postdoctoral researcher on this project, you will: Design and evaluate methods
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programme investigating the relationship between pupil dynamics, visual attention and cognitive processing. Your responsibilities include: designing, programming and conducting behavioural and pupillometry