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and their environments. Work on ancient metabolomics and natural products will focus on computational analysis of biosynthetic genes and pathways, with analysis of metabolomics datasets where available
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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analysis would be beneficial. MSCA Eligibility Requirements Mobility Rule Applicants must not have resided or carried out their main activity (work, studies, etc.) in Denmark for more than 12 months during
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this influences final product quality with focus on functional properties. We are seeking a candidate who will establish an internationally leading research program, and we encourage a diverse range of applicants
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Science and to https://tech.au.dk/en/ and http://www.au.dk/en/ for information on Technical Sciences and Aarhus University, respectively. Employment and place of work The employer is Aarhus University
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is expected to significantly contribute to this new Biosolutions initiative. The aim of the position is to explore the production and use of new solutions based on both biology and engineering
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to the integration and operation of the electrolyzer units with other PtX processes and pilot facilities. In addition to facility operation, you will be involved in experimental R&D activities, analysis and
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”. Where to apply Website https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationForm.aspx… Requirements Research FieldGeosciencesEducation LevelPhD or equivalent Additional Information Work
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considerations into the early development of future technologies. The position includes research, teaching, and collaboration with both internal and external partners, and you will play an active role in shaping
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; generation and application of transgenic tools for imaging, manipulation, and functional analysis of neuronal, glial, and endocrine signaling pathways; integrative approaches combining behavior, physiology