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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
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communication and organization skills are warranted. Given the size of the project, we also expect close collaboration with the wet lab team to optimize workflows and procedures and to aid in data quality control
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transcriptomic technologies and biological data interpretation is a plus. Familiarity with optimizing cell segmentation algorithms for enhanced accuracy and efficiency, as well as experience with tools/packages
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the applicant and the Department of Ecoscience. The position concludes after 24 months. Job description The Department of Ecoscience, Aarhus University is looking for a post-doctoral researcher to optimize a
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to world-class facilities and equipment. Key Responsibilities: Formulate and optimize nanoparticle platforms using techniques such as microfluidics, extrusion, and self-assembly. Perform comprehensive