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the following responsibilities: ● Leading the development of predictive bioeconomic models to estimate economic outcomes, including fisheries spillover effects and biodiversity benefits, across global
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to shape disease risk. Yet most clinical risk models ignore this exposome. In BEE, we will build explainable, physics-guided, GeoAI-driven models that: Predict acute and chronic NCD risks at the population
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they change through time. To translate eBird observations into robust data products we create custom modeling workflows designed to fill spatiotemporal gaps based on remote sensing data while controlling
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areas: Artificial Intelligence/Machine Learning for Drug Discovery: Designing and applying machine learning models to identify new drug targets, predicting drug efficacy and toxicity, and optimizing small
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data · Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling · Clear scientific writing and communication, an ability to work both independently and in teams
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understanding of ML approaches for classification, anomaly detection, and prediction using high-frequency data. Experience with multilevel longitudinal data, missing data strategies, and clinical outcome modeling
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Industry, with the reference ERA-MIN3/0002/2023 with e DOI 10.54499/ERA-MIN3/0002/2023 (https://doi.org/10.54499/ERAMIN3/0002/2023 ) funded by the Fundação para a Ciência e a Tecnologia, I.P., through
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technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In the Biofunctional Nanotherapeutics Lab
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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize