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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- Delft University of Technology (TU Delft); yesterday published
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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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of activities aimed at the inter- and transdisciplinary research in this project. About the DECIDE Project The DECIDE project is a large-scale, NWO-funded interdisciplinary and transdisciplinary research
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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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motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully completed a PhD
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are looking for a motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully
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applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC) incorporating mineralized SCMs. The research will focus on: Modeling long-term
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for high-impact, multidisciplinary research. Position Description We invite applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC
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at the interface between geoscience and engineering then this project may be right for you. Job description The geological storage of hydrogen is a promising alternative for large-scale energy storage in support of
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. Job description The geological storage of hydrogen is a promising alternative for large-scale energy storage in support of expanding renewable energy systems. The North Sea has hundreds of depleted and
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and functioning) and/or plant-soil interaction research; Experience with multi-factor global change experiments; Affinity with or experience in grassland ecology and/or restoration ecology; Interest in