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At the Faculty of Engineering and Science, Department of Materials and Production one or more Postdoc positions in the area of Optimization and Algorithm Design are open for appointment from April
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work will include growth and characterization of thin film systems, searching for new ferroelectrics and optimizing interfaces between layers. The characterization includes polarization switching and
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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-largest contributor to global electricity growth. The holistic research investigating the optimal transmission configurations, sizing, control, and scheduling of cooling that is tailored to building
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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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, such as motion capture, electromyography, inertial measurement units, advanced data processing, numerical methods, optimization procedures, statistics, research ethics and management of personal data
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, large datasets, physical modeling, optimization, and safety and security are key factors. Our main showcase is the water sector, where we have designed and built a specialized laboratory focused on
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modeling, optimization techniques, hybrid testing and digital twins. Furthermore, the position aims at incorporating machine learning to drive innovation in the areas. Possible applications are within
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to join our team working on next-generation speech enhancement technologies. The project explores innovative approaches that move beyond traditional reference-based methods, leveraging optimal transport and
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into high-value functional feed additives, including fermentation of green fractionated halophyte biomass into probiotic feeds. The specific work of the Post Doc will be to optimize and scale up the probiotic