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for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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for internal and external projects, bringing it up to industry standards. You will Develop and optimize the specificity assay for biologics, with technical support. Identify and assess innovative applications
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Fluid Balance: How do lymphatics fine-tune the equilibrium between immune tolerance and inflammation? How the optimal interstitial fluids? How the resolution of inflammation and edema? Phenotypic
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Disease. The antibodies will be engineered for optimal target engagement. The work involves a close collaboration with PI Dr. Simon Glerup (CSO, Draupnir Bio ApS) and Assoc. Prof. Nathalie Van Den Berge
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computational prediction, mapping, and functional characterisation of promoter sequences. Demonstrated expertise in measuring plant photosynthesis and performing plant growth assays under both optimal and abiotic
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of the successful candidate will be to optimize the folding, stability, assembly, and functional activity of complex enzymatic systems in plant cells using both transient and stable plant transformation approaches
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optimization; Edge intelligence and on-device foundation model deployment. You will work in a dynamic and collaborative research environment, with opportunities to publish in top-tier venues and collaborate with
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testing of concrete structures Good Knowledge of data science, e.g. optimization, machine learning, and structural sensing technologies Openness to interdisciplinary research and commitment to teamwork
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different targeting ligands and conjugation chemistries to develop RNA conjugates capable of reaching specific organs and tissues following in vivo delivery. You will also develop and optimize methods