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recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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Pharmaceutical Roundtable. In this project we will employ deep learning-based protein sequence design tools to deliver biocatalysts for peptide synthesis. These designed enzymes will be further optimized using
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-making. They will have completed a research project in organic chemistry, and have experience of reaction optimization and analysis to discover new chemical reactivity. Applicants should have, or expect
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particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
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Description The target is to explore novel synergies among natural language-based Human-AI interaction, nature-inspired optimization and exploration, the social impacts of Human-AI cooperation on team dynamics