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rather than one-shot scenario evaluation. The core research directions of the PhD project include: (i) multi-agent RL to jointly learn policies for multiple control parameters; (ii) uncertainty-aware
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be applied to core technologies of the department, e.g., batteries and catalysts. The project includes collaboration with experimentalists at DTU, who will verify the computational predictions as
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shaping and executing the experimental strategy. Research Environment and Collaborative Structure The position is embedded in the Protein Research Group (PRG), an internationally recognized center
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Environment and Collaborative Structure The position is embedded in the Protein Research Group (PRG), an internationally recognized center for proteomics and biological mass spectrometry. The group comprises
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: development of automated workflows for multi-omics data generation. In this project you will integrate small-scale automated bioreactors with workflows for the generation of high-quality multi-omics data
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planning, allowing them to function as a coordinated unit. The multi-vehicle platform will be developed by the project partners throughout the project and validated in offshore conditions. PhD Focus Area
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between vehicles will be enabled through shared control, communication protocols, and mission planning, allowing them to function as a coordinated unit. The multi-vehicle platform will be developed by
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be considered an advantage if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong