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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
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part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic
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transfer and optimization of waste heat harvesting. Responsibilities and qualifications Your role will be to simulate the heat transfer processes between façade panels and thermoelectric generators, focusing
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computationally efficient at simulating permanent magnet structures, and capable of leading to the globally optimal solution of the underlying design optimization problem. We aim to combine gradient-based
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algorithms, and the integration of models and algorithms into simulation analysis. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry
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DynaMIT project, which aims to explain how Earth's atmosphere is dynamically coupled to space. The project integrates high-resolution observations with new simulations based on first-principles fluid
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, modelling and machine learning to improve defect detection, classification and power loss simulations. Benchmarking field-acquired images with laboratory measurements. Publishing results in leading journals
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demonstrated expertise in experimental quantum optics and a PhD (or equivalent) in physics, quantum information science, or a related field. We expect you to check multiple of these boxes: Expertise in quantum
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-sectional modelling Your overall focus will be to develop and apply advanced methods for inflow reconstruction and reduced-order modelling, with direct application to aeroelastic simulations and lidar
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practice as well as in theory. Your primary responsibilities will include: Investigate, develop and validate new models to simulate wind turbine response in HAWC2 at different fidelity levels. Validation