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We are seeking candidates for a post-doctoral position within the field of correlated disorder in crystals. The position is for three years. In case further external funding is secured within
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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disease, with a strong focus on fibrosis and inflammation. Over the years, we have developed an advanced translational toolkit, including human precision-cut tissue slices, a unique organotypic model
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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October or as soon as possible thereafter. Jobdescription This postdoc position offers a unique opportunity to bridge environmental modelling, behavioral insight, and policy innovation to understand and
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on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as well as international partners. Field
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in vivo models to investigate drug responses in relation to immune-cell mediated killing of multiple myeloma cancer cells. Your job responsibilities As Postdoc in Cancer immunology/multiple myeloma
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: Probability Theory, Geometry and Analysis Appl Deadline: 2025/09/25 11:59PM (posted 2025/08/25, listed until 2025/09/25) Position Description: Apply Position Description The Department of Mathematics