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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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experience, particularly in research or development related to wood materials or construction. In addition, special emphasis is placed on intellectual curiosity, analytical ability, thoroughness, and
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and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en ), was created. Name of research project
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are looking for a highly motivated, independent, and analytical person, with: A degree or the equivalent in scientific data analysis, data science and machine learning, computer science, bioinformatics
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment
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Are you passionate about railways, acoustics, and data-driven infrastructure solutions? We are looking for a PhD student to join the project “A robust tool for rail fault and roughness estimation
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takes place in the context of Software Center, a collaboration between 15 companies and 5 universities around accelerating digitalization (software, data and AI). Specifically, the project is focused
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data analysis, programming, and biology. You will be part of a collaborative research team with deep experimental and analytical expertise, with access to advanced tumor models and state-of-the-art
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, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
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strategies for enhancing their degradation in AD systems. Among the available analytical options, liquid chromatography with various detection modes, target and non-target mass spectrometry, and nuclear