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data-driven analysis. The ultimate goal will be to better comprehend the link between developability, affinity and functionality. You will build and screen antibody and nanobody libraries, plan and run
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causal analytical foundations of mass transit system performance. The research is expected to contribute both novel methodological advances in statistical modelling, causal inference, and machine learning
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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innovation. The KTP Associate is expected to work both at Aforce London Ltd. premises and at Imperial College London South Kensington Campus.” The core mission of this KTP project is to develop a novel