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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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study the mechanism of action of such inhibitors. Profile: Candidates with a PhD in biochemistry, cell biology or related field and with passionate interest in working on infectious diseases to both
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-residue contacts. Leverage state-of-the-art protein structure prediction tools, including AlphaFold3, ESMFold, and ESM3, to study antigen evolution and guide protein design. Work in a collaborative group
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analyse the data to study the relationship between genetic variants associated with autism and brain development (analysing anatomical and functional connectivity data). Examples of papers from
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain