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experimentation. A solid molecular biological toolkit is a plus. The postdoc period is 2 years from December 1st, 2025 with a possibility of extension. We recommend that as an international applicant, you take the
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biotechnology from the molecular to landscape scales. The post is based within the Crop Sciences section at the Tåstrup campus, at the university’s experimental farm platform. The weed ecology and evolution group
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and design of the research plan You will be working with an interdisciplinary set of tools and approaches covering molecular biology, chemistry, materials science and physics. You will be involved in
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molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top candidates using high-throughput bacterial systems and
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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and MSc students. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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on understanding and controlling the structure of the casein micelle (CM), a key component in dairy systems, under various simulated processing conditions. The project will be caried out in close collaboration with