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. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase chemistry of
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make
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/MS experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase
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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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potential. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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The Danish School of Education (DPU), Faculty of Arts, Aarhus University, invites applications for a postdoctoral position within the research project Educational Optimism – Aspirational
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generation Developing and optimizing generative models for de novo minibinder design Integrating structural biology data into AI pipelines for receptor–ligand interaction modeling Fine-tuning large protein
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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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, synthetic biology, yeast genetics, or related fields. Strong knowledge of heterologous protein expression and optimization. Experience with high-throughput screening and genetic-engineering technology is