27 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at University of Southern 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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, households) to discover and model macro level regularities that eventually shall help reveal general principles of birth, renewal, aging, and death. Required qualifications PhD in demography, mathematics
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have successfully defended a PhD thesis in a relevant discipline (computational mechanics, mechanical/aerospace engineering, simulation technology, applied mathematics, etc.). If you have not received
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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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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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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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glioblastoma models will be a plus. The candidate will be placed within CITCO, at the Department of Clinical Immunology, which consists of several postdocs, PhD students and master students from different
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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
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely
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the context of an advanced electric actuator. The candidate will evaluate existing research and commercial solutions, propose new methods, and potentially develop domain-specific models and toolkits to address