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Field
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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Climate Research Centre (SBiK-F), starting as soon as possible: Postdoc in vegetation and ecosystem modelling (m/f/d) (Full time / part time options available) Location: Frankfurt am Main Employment scope
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. Investigating epigenetic regulation (DNA methylation, histone modifications) in stem cell fate decisions, reprogramming, and disease modeling using AI predictive tools. Combining computational virtual cell
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experimentally measured thermodynamic properties (heat capacity functions, decomposition enthalpies, and phase boundaries produced by the lab's calorimetry program) into modeling workflows, so that predictions and
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thermomechanical processing and develop computational models to predict mechanical properties, their evolution, and formability. Through August 2026, contribute to the DOE ARDAP research project by evaluating
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) project entitled “Data-driven methods for reaction pathway exploration in multi-component non-equilibrium systems.” This project aims to understand and predict reaction pathway selection and functional
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disease modeling using AI predictive tools. Combining computational virtual cell frameworks with wet-lab validation in human iPSC-derived neural models, organoids, or in vivo systems. Exploring
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manufacturing. The role sits within the £13M EPSRC Hub for Advanced Long-Acting Therapeutics (HALo) (https://www.liverpool.ac.uk/celt-global-health/halo/), a nationally leading initiative spanning universities in
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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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aforementioned data set; (b) devising groundbreaking theoretical models of societal response to climate change; (c) testing the project predictions and designing methodologies able to tackle endogeneity issues