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: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
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researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance of the project
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, and optimizing ionization conditions. The ultimate goal is to integrate key negative ion mode features into computational workflows for enhanced proteome analysis. Refine bacterial lysis methods
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and estimate tidal components. When relevant, compare with tide gauge data. Develop robust station infrastructure capable of withstanding extreme Arctic weather conditions. Optimize power supply
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institution that aims to contribute to the reaching of climate neutrality by 2050. The ambition of the SDU Climate Cluster is to create optimal conditions for ground-breaking, excellent, and interdisciplinary