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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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communications; iv) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio
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structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption
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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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biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles; Building and optimizing pipelines for pre-processing and
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Crosstalk: Which molecular mediators or physiological cues from the lymphatic microvasculature influence immune and structural cell behavior? (focus on epithelial, myeloid and stromal interactions) Immune and
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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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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