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, initially persists but is eventually degraded by photochemistry and microbial enzymes. This project seeks to translate metagenomic information to enzymatic function and biogeochemical impacts in marine carbon
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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empirical studies, analyze qualitative and/or quantitative data, and disseminate findings in leading international journals. The position therefore requires solid methodological skills, strong communication
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made through
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language models and structural data. Build systems biology frameworks to characterize time-resolved protease network activity during tissue repair. Validate identified biomarkers through targeted proteomics
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regarding interventions on sustainable diets. This PhD project bridges evidence synthesis and RBA of sustainable diets for public-health advice. RBAs rely on data provided by systematic reviews reporting
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well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and follow quantitatively
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Job Description If you are passionate about advancing the frontiers of process mining and data-driven intelligence, and you want to build your career in one of the fastest-growing research areas
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carried out and data is generated? Then keep reading. The Natural Products Genome Mining Section at DTU Biosustain studies multiple aspects of Actinomycete bacteria, for example their genomics, molecular