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Field
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) multi-omics analysis for the identification of therapeutic targets (biomarkers or druggable targets). The candidate will also develop and implement AI-driven tools to predict disease prognosis and
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are challenging to detect early with conventional single-sensor approaches. To ensure reliability and enable predictive maintenance, there is a pressing need for AI-supported, high-speed non-destructive monitoring
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models that do not accurately predict clinical responses in humans, likely due to differences between human and rodent biology. Furthermore, preclinical in vivo arthritis models can be severe and cause
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physics-based theory with data-driven models, you will contribute to the next generation of predictive tools for materials design and discovery. You will also collaborate closely with experimental and
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imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). Your research will directly contribute to early detection and risk stratification
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to contribute to understanding and predicting how extreme weather events will affect soil carbon
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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for phenotype prediction, helping to accelerate the cell engineering cycle. Within the scope of cell engineering for cultivated meat, there will be freedom to select and suggest your own research projects, and to
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Do you want to contribute to understanding and predicting how extreme weather events will affect soil carbon sequestration and greenhouse gas emissions in agricultural grasslands? Do you want
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subsurface hydrogen storage and calibrate reaction parameters using experimental data. Perform numerical simulations of subsurface hydrogen storage including chemical reactions for an ensemble of geological