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Field
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checking and conformal prediction to efficiently assess a given design and identify bugs or bottlenecks. Task 5: Design and semantics of distributed quantum programming and modelling languages. This task
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of the ocean models. This analysis is fundamental to understanding and ultimately enhancing the skill of coupled ocean-atmosphere models used for tropical cyclone and hurricane prediction. The incumbent is
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year-long module performance in the water industry; (ii) exploring whether machine learning, couple with transport informed models can be used to predict membrane fouling for specific applications
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The Duarte Group works at the forefront of computational chemistry, developing predictive tools for reaction modelling and molecular design across catalysis, sustainability, and health. Alongside
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apply quantitative and data-driven models to study protein interactions and their context-dependent behaviour, linking computational predictions with condition-specific biological responses. You will have
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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. Antonio Scialdone’s group at Helmholtz Munich, a leading European hub for AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models
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We are seeking a highly motivated postdoctoral researcher with expertise in battery safety, thermal management, and/or computational modeling. This position integrates rigorous experimental
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systems (proteins, enzymes, membranes, and complexes) Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity Contribute to cross-scale modeling
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checking and conformal prediction to efficiently assess a given design and identify bugs or bottlenecks. Task 5: Design and semantics of distributed quantum programming and modelling languages. This task