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. Material Optimization: Use optimization algorithms to design FGMs that meet demanding performance criteria like fatigue resistance and durability. Systems Integration: Apply a systems engineering approach to
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the advances in battery technology, as it enables more precise monitoring, control, and optimization of battery performance throughout its lifecycle. By incorporating digital tools such as algorithms, and
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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pages; optimally organized around the four principles of Scholarship of Teaching and Learning in Higher Education). List of 2-3 reference persons (name, relation to candidate, e-mail, and phone number
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by which peptides evolve new functions, including evolutionarily "optimized" structure-activity relationships that can be harnessed for therapeutics development. This project is funded by the Research
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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are expected to be the CO2 capture technology for early large-scale deployment. A detailed understanding of the CO2 capture solvent is therefore necessary to ensure development and application of an optimal
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involved as droplets flow on and through fog nets, aiming to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous
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to optimize performance and safety. Integration of Human Factors in Autonomous Systems: Examining how human capabilities and limitations impact autonomous system design and operation. This can include research
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experiments, including setup of detectors, electronics, and data acquisition systems. Experience analyzing complex experimental and Monte-Carlo simulated data to optimize the analysis of raw detector data in