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used in this project. The overall goal of the project is to use AI to optimize combustion in real time and select which combustion mode is the best at each instance. The AI controlled engine will rely
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the computational biology and bioinformatics field. Developing specialized methods for automatic or semi-automatic, possibly visually aided evaluation and model selection of such algorithms. Developing tailored
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, targeted mechanical weed control, etc.) profitable, contributing to increased biodiversity locally and reducing the need for insecticide use. Responsibilities and qualifications The PhD projects are funded
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with analytical chemistry techniques for contaminant detecting and quantification is essential. A good command of both written and spoken English is required, along with the ability to work independently
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. Our activities span enzyme and microbial systems, process intensification, and control strategies, with the aim of linking fundamental insights into biocatalyst behavior to robust process implementation