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Are you passionate about solid mechanics and intrigued by machine learning? We are seeking a qualified candidate who can merge expertise from both fields to develop innovative tools for analyzing
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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
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Time model. The postdoc will investigate how mechanisms of thermal acclimation and repair of thermal injury, can be integrated with thermal tolerance measures under fluctuating temperatures across
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, fluid mechanics, solid mechanics, materials science including phase changes, numerical mathematics and data analytics based on statistics and/or machine learning. Each of the postdoc positions will be
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. This position is funded under a European Research Council (ERC) advanced grant LUMIN (Illuminating charge transport in feldspar to measure rates of earth surface processes). We are looking for a self-driven and
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exposure as described by the Thermal Death Time model. The postdoc will investigate how mechanisms of thermal acclimation and repair of thermal injury, can be integrated with thermal tolerance measures under
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, education, innovation, and scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechanics, fluid mechanics
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. Candidates should have a PhD degree in experimental fluid mechanics and (highly preferably) a solid background in Particle Tracking Velocimetry. You should also have a solid understanding of fluid mechanics
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for charge transport in solids. Implement a flexible, user-defined distribution of trapping sites in three-dimensional lattice structures. Incorporate key charge transport mechanisms, including trapping
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The recently funded project Science-based policies for a sustainable European agri-food and land use system (SEAL) at the University of Copenhagen (located in the Department of Food and Resource