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). The project envisions the use of methods such as: Large Language Models (LLMs) to hold a knowledge base of regulatory documents Reinforcement Learning (RL) for adaptive decision-making under uncertainty Dynamic
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using real operational data from a large wind turbine portfolio. Project Responsibilities and Qualifications As a Doctoral Candidate in the MET2ADAPT network, your primary research tasks will focus
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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell
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cardiometabolic diseases by integrating registry data, large-scale GWAS and other omics datasets, as well as data from human clinical trials. A subproject will be based on biobanked and newly collected human saliva