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. Collaborating with team members on data analysis, interpretation, and modeling efforts. Publishing research findings in leading scientific journals and presenting them at international conferences Profile
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, brings in their motivation and creativity, can clearly communicate, enjoys working closely and respectfully within a team and has basic experience in laboratories and in data analysis. Prior experience in
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. The project includes a mixture of practical work in the forest, greenhouse, and laboratory, as well as data analysis. Your profile We are looking for a researcher with a Master's degree in geochemistry, soil
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/he will participate in writing scientific publications and presenting data at national and international scientific conferences. Previous experience in one or more of the following topics is required
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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independent and collaborative research, including literature reviews, data collection and analysis, leading to novel contributions to the field. You will be responsible for writing and publishing academic
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regional focus on western Europe and its colonial possessions”. The work package uses heuristic methods (textual analysis, visual history, material culture studies) and insights from modern-day marketing to
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at international conferences Your profile MSc in Materials science, Chemical engineering or related disciplines Solid background and interest in organic chemistry Strong analytical skills for materials and data