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platforms for advanced automation and control. You will be mainly in charge of: Designing and deploying edge-to-cloud automation solutions for real-time operation of active distribution grids Implementing
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knowledge on leaf thermodynamic processes based on continued literature study, mathematical modelling of the leaf boundary layer conductance and its interactions wtih stomatal control and the leaf energy
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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advanced grid-connected hardware architectures. · Implementing control loops for grid-connected power converters. · Developing gird-following and grid-forming functionalities
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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on these instruments. The focus areas include nano-imaging, nano-analysis, and in-situ process control for nano-fabrication. AINA’s multi-disciplinary team of experts in charged particle optics, mechanical engineers