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within the following projects: 1. CO2plus: Phase behavior of CO2+X in CO2 storage. 2. CapSim: Optimizing carbon capture simulation through advanced modelling tools. Responsibilities and
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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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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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
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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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device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. Exploring hardware-level security mechanisms based