14 coastal-modelling Postdoctoral positions at University of Southern Denmark in Denmark
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Job Description We invite applications from highly motivated and talented researchers for a 2-year postdoctoral position in advanced skin models, cellular immunology, and spatial transcriptomics
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implications. The centre is recognized for its strong profile in analytical demography, demographic modelling, and forecasting. Its research meets the highest international standards, demonstrated by
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). Human and environmental exposure modeling (e.g., ConsExpo, Chesar, Vermeer). Proficiency in navigating ECHA databases, and use of chemical safety data (REACH dossiers, hazard classification, exposure
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to coastal erosion, permafrost thaw, wildfires, and sea-ice loss. Despite adaptation measures, these impacts undermine the well-being of Arctic communities, both economically (e.g. by damaging infrastructure
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partial reprogramming techniques to reverse age-related decline in health, focusing on improving healthspan and organ function in aging models. Key recent publications from Dr. Sahu’s previous work include
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, stimulation and transduction of T cells, and standard molecular biology methods, including cloning. Experience with flow cytometry and animal work is essential. Hands-on experience using cancer models in mice
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analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical models to quantify phenological responses. Collaborate with internal
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, you are expected to determine the molecular super-structure of TZ. You will monitor the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by immunofluorescence
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background in molecular medicine or immunology. Experience with flow cytometry and animal models is a prerequisite, while basic understanding of extracellular vesicles will be an advantage. Research
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cell-based models such as induced-pluripotent stem cells, primary human hepatocytes and clinical studies. The environmental medicine group study the impact of early life exposures to environmental