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postdoc, you will primarily use cell cultures, and zebrafish embryos as a model organism, with the ambitious aim of developing innovative approaches in extracellular vesicle bioimaging. Through the
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-collaboration research project between three DTU departments, we will investigate if we can realize a new rare-earth-free permanent magnet using novel processing routes. We will model, synthesize and
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and define dedicated learning objectives, to learn the effects of genetic variants on gene expression. The position will focus on data science and genomics in a model plant species, Brachypodium
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investigates N2O decomposition model catalysts at the Interfaces and Catalysis group, Department of Chemistry, Aarhus University. We seek an experimental surface scientist experienced with near-ambient
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governs their thermal performance, operational robustness and cost. The overall aim of the project is to design, optimize and digitally model the cooling system of a pilot-scale electrochemical
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model in-novation, value creation, stakeholder engagement, and the development and validation of methods and tools for circular transitions. Your Profile We are looking for a candidate who has: A PhD
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
robustness and cost. The overall aim of the project is to design, optimize and digitally model the cooling system of a pilot-scale electrochemical reactor. The work combines physics-based thermal design and
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on gene expression. The position will focus on data science and genomics in a model plant species, Brachypodium distachyon . You will work at the cutting edge of AI in biology and propose new solutions
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Terminus: Rainbow-Painting of Extracellular Vesicles for Single-Particle Tracking. As a postdoc, you will primarily use cell cultures, and zebrafish embryos as a model organism, with the ambitious aim
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statistical methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart