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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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the core multiphase reactive algorithm and incorporating accurate thermodynamic models into process simulators. The goal is to deliver robust, high-fidelity software tools for both established and emerging
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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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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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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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information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum information. Experience in continuous variable quantum information processing
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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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optimization of waste heat harvesting. Your role will be to simulate the heat transfer processes between façade panels and thermoelectric generators, focusing on maximizing waste energy recovery efficiency. You