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The project: Non-destructive testing (NDT) is vital to ensure structures are safe and to reduce operating costs by facilitating predictive maintenance. The focus of this project is on improving
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-omics analysis, systems modeling, and predictive simulation of host-microbiome-driven disease processes Translation of microbiome and systems-level discoveries into clinically actionable biomarkers
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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models, and the discovery of novel pathways involved in both normal development and disease, driving progress in regenerative medicine and personalized healthcare. Where to apply E-mail positions@gimm.pt
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outputs and insights, you will further extent the research to prediction models and different product development, which can be tested on pilot scale as well. Duties As a Ph.D. student you are expected
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Silva. Grant duration: Initial duration of 36 months, with the predicted starting date in April 2026, on an exclusive basis eventually renewable but never exceeding the project duration
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. Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch
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transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
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multimodal neuroimaging, artificial intelligence, and multi-omics approaches to build diagnostic tools, identify biomarkers, develop models and tools to predict and improve treatment outcomes to impact
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Budget (DEB) model for sea scallops to produce seasonal forecasts of scallop growth and mortality. The postdoctoral researcher will also evaluate the predictive skill of oceanographic variables (e.g