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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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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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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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to structured spectral annotation supporting advanced downstream data analysis (in collaboration with a dedicated postdoc) Present research findings through peer-reviewed publications and international
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, MSc, and PhD degrees in computer science and mathematics, a BSc in artificial intelligence, an MSc degree in data science, and an MSc in quantum computing. Candidate Profile We are looking for highly
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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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to develop new methods. The proteomics data will be used in combination with protein structure predictions and functional studies to understand the structure, function, and assemble of multimeric protein
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is
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systems We offer A position in a vibrant, interdisciplinary research environment with strong industry links Access to state-of-the-art research facilities and real industrial data Opportunities