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genomic or molecular datasets Background in Bayesian statistics, causal inference, or probabilistic modelling. Familiarity with modern AI architectures and foundation models. Organizational and social
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-dimensional complex data from molecular phenotypes coupled with genotypes, for discovery, prediction and causal inference in epidemiological studies (including but not limited to genome-wide association studies
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RNA biology, biochemistry, structural biology and/or cell biology. Proven track record of research activity in molecular biology. Strong background in biochemistry, mRNA translation and cell biology
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