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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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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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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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Medicine consists of seven divisions that conduct both research and teaching. The department is involved in advanced research, encompassing both basic and applied research. All divisions operate in close
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role The successful candidate will contribute to a research project at the intersection of engineering (pre-stressed concrete bridges), material science (Cholesteric Liquid Crystal Elastomer), sensing
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cutting-edge solutions that enable researchers to explore complex biological systems at unprecedented resolutions while maintaining the spatial context. DanSIC is also part of CellX – The Danish Single Cell
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neurodegeneration both within as well as across -omics modalities, leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project
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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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scientifically diverse team to achieve assigned research objectives. Candidates with experience in the following areas are especially encouraged to apply: Development and optimization of next-generation sequencing
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PhD position / Postdoc position (all genders) in AI for biomedical data analysis Full time/ Part time | Temporary | Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together