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strategies for efficient utilisation of wireless resources and interference/jamming avoidance and methods for optimal unicast and multicast/broadcast transmissions, often empowering cutting edge AI/ML
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-precision localization and radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio
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of optimization-based MPC with data-driven RL methods. You use the aforementioned AI techniques to research scalable/distributed solutions to control large pools of flexible assets, but will also benchmark them
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of the spider mite and developing innovative strategies for the stable integration of large DNA fragments. As a PhD student, you will play a central role in developing and optimizing this transformation
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use. The PhD project will also explore optimization approaches for feed formulation that simultaneously balance animal performance, feed cost, and sustainability objectives. Throughout the project
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includes; Design and optimize Perovskites (doped and in-situ exsolved) for enhanced OER in solid oxide electrolysis process to reduce CO₂ into syngas precursors. Develop and characterize copper-based nano
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biology (WP3). These plant-AMF signaling compounds are essential for optimal fungal colonization of the plant roots. They will be identified by other partners and we will establish their heterologous