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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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to improve understanding of the degradation processes that dictate the operation lifetime of solid oxide cells (SOC). Transforming our society to rely only on sustainable energy sources is a formidable
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demonstrate the ability to use this background to: Develop innovative decision-making strategies that seamlessly integrate operational research techniques and machine learning algorithms. Engineer solution
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University of Denmark, DTU. DTU Nanolab houses a state-of-the-art electron microscopy center. The work carried out at DTU Nanolab spans the range of basic topographical studies to highly sophisticated analysis
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protein-based solutions for sustainable development. Responsibilities and qualifications The overall role of the position is to lead and drive an innovative research group focused on developing cutting-edge
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in functional genomics methods (e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024
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large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make