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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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, modeling, and simulation of electrical power systems for railway and road mobility considering their impact on electric transmission and distribution grids, with particular attention to the integration
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. The role of the young researcher will be to implement an automated identification tray for a black box EMC model, with the doctoral student implementing the model validation simulations in a system
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survey astronomy. Projects range from AI-oriented astrophysics and cosmology, such as simulation-based inference, AI-based data reduction, and AI-based accurate modeling and simulations, to the database
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, scalability, and cost competitiveness; • Developing integrated plant-level models and simulations to assess system performance, capital expenditure (CAPEX), operating conditions, and the profitability of trade
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for the simulation of microplastic transport in the Mediterranean Sea, with specific focus on the Central Mediterranean. The model, developed on the basis of a Lagrangian formulation, will be forced by ocean current
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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projects; knowledge of the English language. III. Work Plan: …………………………………………………………………………………………………………………. PT1 — Development and adjustment of specialized language models (LLMs) in the field of regional
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vanadium for energy storage applications. Applying thermodynamic modeling tools (CALPHAD, FactSage) to simulate vanadium phase behavior and guide process improvements. Performing advanced characterization
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environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and