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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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Communities to participate in local energy markets and provide demand-side flexibility within a data-driven, net-zero carbon energy system. The Research Assistant will work closely with post-doctoral
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
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for binding critical minerals and materials. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Biological Nanostructures, Data Science and Infrastructure, Imaging
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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homeostasis. Responsibilities include recombinant protein expression and purification, development and execution of enzyme and biophysical assays, and quantitative data analysis to support structure–function
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on conduction system diseases. To identify these pathways, the postdoc will analyze and integrate data from mouse models for different diseases, human tissue, human iPSC-derived pacemaker-like cells and cutting
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flexibility within a data-driven, net-zero carbon energy system. The Research Assistant will work closely with post-doctoral researchers and a multidisciplinary team across institutions, contributing
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others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using