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mathematical modeling and/or forecasting of, preferably, fertility Experience in working with human fertility data and/or with mortality data and/or with registry data on couples, families and/or households
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with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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partners The working language of the MSO group is English, so you will be expected to have a documented working level of written and spoken English. Contact information For information about SDU Mechanical
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technical and data requirements. The collaboration with the interdisciplinary team, including experts in software engineering, artificial intelligence, and behavioral science, will facilitate evaluating
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work primarily within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct
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architecture, Design experiments, collect data, and validate ideas in collaboration with the broader engineering team. Profile and requirements The candidate will participate in research and development
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and data analysis as well as research management, oral and written communication, and networking. Participation to international conferences to facilitate successful integration into the cilia research
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salary and benefits, including health coverage and social security. Practical, legal, and social support (housing, visa, tax) through SDU's International Staff Office (ISO). Further information For more
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administrative staff at POLIMA. For further information about the positions and the research center, contact Assistant Professor Nicolas Ubrig (ubrig@mci.sdu.dk ). If you experience technical problems, please