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the mosquito, the malaria parasite undergoes a complex and delicate lifecycle that can be successfully targeted using transmission blocking vaccines (TBVs). The most promising lifecycle stages to target with
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Bayesian methods, deep learning, deep generative models, reinforcement learning, graph neural networks. Interviews are expected to happen in July 2025. Applicants are encouraged to guarantee that referees
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design of experiments methods, based on Bayesian Optimisation. In addition, the team at Cambridge has its own high-throughput and robotics facilities which we use as a testbed in developing new ML methods
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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probability, likelihoods and Bayesian analysis. We are also seeking individuals with a strong interest in public health. Key Responsibilities: Develop models that integrate different data types (e.g., serology
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tissues to study and target the interactions between pancreatic cancer cells and the surrounding microenvironment. Typical techniques used in the laboratory are generation of organoid-derived orthotopic
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promoting the programme to targeted underrepresented communities, universities and countries. They will ensure that the programme meets the priority group targets set by the Mastercard Foundation, which
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-molecule manipulation of different signalling pathways; CRISPR/Cas9-mediated gene targeting in 1-cell embryos), bioinformatic analysis of single-cell transcriptomic datasets and gene-expression studies using
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novel target discovery in health and disease. Leveraging arrayed screening to systematically perturb individual genes in a microtitre plate format, the FGSL forms cross-functional partnerships
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map. About the Role Global efforts to address nature-related risks and achieve ambitious conservation targets are being hampered by a fundamental data gap: there is still no accurate fine-grained