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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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, without the use of simulation software familiar to process engineers. In this thesis, we aim to: - Propose generative models for other types of cycles, based on existing models. To do this, we could use
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, including animal surgery, simulations, and theoretical investigations; analyze data; and disseminate research findings. Participate and observe clinical activities, including clinical visits, rounds, meetings
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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candidate, you will investigate the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of
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). The aim is to design and build both the linear alternator and its control electronics, with the following scientific challenges to address: Compatibility of operating conditions between expansion
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model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure
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, and running and interpreting one- to three-dimensional solar wind simulations to define new inner boundary conditions for global heliospheric models. Requirements: MSc (or equivalent) in space physics
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-hydrated alkali-silicate melts that enable efficient zeolite formation under mild conditions. Molecular modeling and experimental characterization show that the type and concentration of the alkali cation
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PhD We are looking for motivated and dedicated candidates interested in modeling and/or numerical simulation of challenging engineering problems. In addition to the enthusiasm for research, you should