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of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We have performed such studies
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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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 of tailored studies. We
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highly motivated, determined, innovative, and collaborative postdoc to lead the research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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NextFlow is a plus. Programming experience is required (Python, R). Previous experience in Genomics data analysis Strong analytical, organizational, and record-keeping skills Interest in working in a
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, Aalborg University and TU Delft, including microbiologists, process engineers, biopolymer and formulation specialists, and analytical chemists. A background within glycobiology, carbohydrate chemistry and
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of field-grown vegetables or agricultural crops, and master state-of-the-art experimental and analytical methods in plant physiology, agronomy and agroecological research. You are expected to have research
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analytical skills. Strong numerical skills. Programming experience, advanced python is mandatory. Experience in field data collection, experience in remote field conditions is a plus. Excellent English skills