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) study. This large-scale, longitudinal project is designed to advance computational psychiatry by integrating mechanistically informed behavioral tasks with theory-driven mathematical modeling in a
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machine learning, reduced-order modeling, or data-driven modeling of physical systems. You will conduct research on the development of fast, trustworthy, and data-efficient surrogate models that
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data-driven models to simulate severe weather hazards like tornadoes and hail, and apply models to investigate severe weather hazard activity in large ensemble simulations. Evaluate model biases, e.g
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Postdocs in Data-Driven Product Realization Reference number REF 2026-0393 Join us for an exciting postdoctoral position to shape the future of data-driven product realisation in close collaboration
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experience and capability in handling quantitative data and programming. If you already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that
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), target and pathway modulation (PD), and tumour dynamics, with EGFR- and KRAS-driven non-small cell lung cancer as the flagship setting. A complementary stream applying machine learning to
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systems through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to
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, artificial intelligence, and data-driven discovery. Learn more about the iMIND Study Team: https://dukeeyecenter.duke.edu/imind Be Bold. Join a multidisciplinary research team at the forefront of
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governs their thermal performance, operational robustness and cost. The overall aim of the project is to design, optimize and digitally model the cooling system of a pilot-scale electrochemical
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(NUS), and BEARS. The role will focus on developing and implementing AI/ML-driven high-throughput, closed-loop experimentation for the discovery and optimization of electrocatalytic materials for CO