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. This allows us to shift from the standard imaging question of "what is the structure of this sample?" to "how does the structure differ from the known design?". The second question can be answered with far
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reproducible pipeline integrating epidemiological, vaccination, intervention, and variant data, with a temporal structure suitable for time-dependent modelling. (ii) Portfolio of expert models. Develop and fit a
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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of protein-based materials and biocatalysts using synthetic cells. A key objective is the bottom-up construction of synthetic cells that are capable of sustained protein production. This is a formidable
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statistical reasoning, including a clear understanding of model assumptions, uncertainty, validation, data structure, and the limitations of different analytical approaches. Experience with multimodal human
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description The Sars-Covid virus genomic RNA encodes a small number of structural proteins, one of which is the N-protein. This N-protein plays a strong role in packaging the genomic RNA; yet, how this
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How is the Sars-Covid genomic RNA packaged? Job description The Sars-Covid virus genomic RNA encodes a small number of structural proteins, one of which is the N-protein. This N-protein plays a
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integrating literature, in-house, and newly generated experimental data Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and
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, including active learning or Bayesian optimization. Experience with imaging, time-series or high-dimensional data. Exposure to crystallography or structural biology. Experience with multimodal datasets and
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising