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learning affect collective decisions? What happens when agents differ in their information, objectives or ability to learn? The precise question will be developed with the student. A project may combine
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in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches
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, logistics chains, etc. The research involves extensions to the DTaaS platform with different security principles and defining security policies that supports co-simulations by multiple autonomous actors. A
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requiring to pour models / trim models for lab exercises. Number of models often exceeding 100. Demonstrate to students how to pour models / trim models. Work with extracted teeth. Take radiographs
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to bigeye and skipjack tuna where appropriate. Initial work will build on an existing high-resolution, spatially explicit simulation framework developed using the Spatial Population Model (SPM). SPM will be
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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, ensuring they develop foundational clinical skills in a simulated environment. This role focuses on guiding students in techniques, procedures, and protocols essential for clinical practice. The Instructors
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consequently more heat flux from the relatively warm, deep Arctic to the vulnerable surface sea ice. Climate models do not currently represent these processes, which are dynamically different from those
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to the development of state-of-the-art nuclear-reaction models and evaluated nuclear-data libraries, supporting safe, reliable, and competitive technologies for both existing and future nuclear-energy systems, as
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and