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batteries that actively support the power grid to facilitate the deep integration of intermittent renewable power generation and enhance grid resilience during extreme weather events. Through partnerships
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. Establish a nanomechanical and macro textural foundation for small sample cultivated meat using advanced tools such as AFM, micro-indentation, and micro texture analysers (e.g., TA.XT plus), Confocal Laser
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normally defined as within 3 months of application date). Desirable: Training in qualitative methods. Training or micro-credentials related to related to co-design community engagement methods, climate
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or reinforcement learning o Sensor fusion and state estimation o Motion planning and control • Excellent programming skills in Python and/or C++. • Experience with ROS
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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PMSRM/PMSynRel) control using inverters, high-performance motor drive control, and Battery Management Systems. • Develop digital twins of the detailed electrical power system based on the concept
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activities and relevant alternative protein micro-credential development such as Food Law and Regulation where appropriate; Contributing to the supervision of junior researchers and PhD students and acting as
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of faceted, nonspherical particles. Graph-based descriptors will be constructed from X-ray-based 3D in-situ characterization methods, including High-Energy Diffraction Microscopy and Micro-Computed Tomography
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of simulation-ready models. Experience with FEM/FDTD spatial discretization, geometry or voxel-model preparation, material-property assignment, and mesh/grid-quality assessment. Experience with Sim4Life, COMSOL
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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of