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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate
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quantification, and structural surrogate frameworks based on Artificial Intelligence. You will develop tools that bridge from detailed simulation to rapid predictions, compute structural sensitivities, address
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and AI techniques will be used to predict periods of harmful phytoplankton occurrence and to investigate their environmental triggers in the Galician Rías Baixas (NW Iberia). The work will also involve
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selecting simulations to run based on a given prediction objective. • Implement and validate these developments in the YALES2 code. • Utilize high-performance computing resources to run the simulations
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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the prevention, prediction, and treatment of diabetes through artificial intelligence, computational biology, and precision medicine. The successful candidate will contribute to the development and application
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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the function of unknown genes and predict mutation impact , for personalized medicine Repurpose existing drugs to new diseases Identify potential therapies for bipolar disorder and psychosis , based on cell
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position for a research assistant, COR code 213147, as part of the project “Center of Excellence in Research for Promoting Climate Neutrality and Resilience through Agriculture (AgroCliN),” a project
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proteomics Bioinformatic data integration and development of predictive biomarker models Clinical validation of findings using patient cohorts from both institutions Regular scientific exchange and