10 computational-modelling Postdoctoral research jobs at Aarhus University in Denmark
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kidney disease models. Developing and applying computational pipelines for multi-omics integration. Working closely with scientists and clinicians to translate computational findings into biological and
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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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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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred
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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred
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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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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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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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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