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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We
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improve predictive modelling for CVD. We pay particular attention to methods driven by generative diffusion models, physics-informed neural networks, and probabilistic numerics. As postdoc, you will
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integrate novel transcriptome-wide and epigenome profiling techniques (based on bulk and single cell sequencing) alongside CRISPR-based genetic engineering, biochemical, molecular and cell biological methods
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a driven and motivated researcher
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different quantitative and qualitative methods can be applied on our reseach topics. The ambition is to build challenge-driven scientific excellence by crossing traditional boundaries and increase the level