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ternary and quaternary compositional spaces to provide experimental benchmarks for computational predictive models. The work will include planning and carrying out experiments, maintaining detailed
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applying AI/ML models to predict cis-regulatory elements in plant genomes and uncover mechanistic insights into protein-DNA interactions. (2) Developing and applying computational methods to infer gene
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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Particle and Astroparticle Physics to start in the fall of 2025. The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the Standard Model, using analytical and
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cardiovascular disease prevention and chronic disease modelling. Funded by the European Society of Cardiology, the successful candidate will join the Health Economics and Policy Evaluation Group within
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Position Description Summary: Applications are invited for a postdoctoral position to conduct experiments with bacteria swimming in fungal hyphal networks and model their movement and dispersal
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malignancy. The project integrates mouse and iPSC models, CRISPR genome editing, molecular biology, flow cytometry, and single-cell multi-omics to dissect disease mechanisms. We are committed to mentoring