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of antibiotic resistance. You will build generative protein models to predict plausible future resistance mutations, use these models to guide high-throughput experimental screens of millions of enzyme variants
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Department of Clinical Medicine, is to use Danish register-based data to validate the risk-stratification tool developed in the Welsh data. As such, a background in prediction modeling and experience working
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checking and conformal prediction to efficiently assess a given design and identify bugs or bottlenecks. Task 5: Design and semantics of distributed quantum programming and modelling languages. This task
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checking and conformal prediction to efficiently assess a given design and identify bugs or bottlenecks. Task 5: Design and semantics of distributed quantum programming and modelling languages. This task
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computational datasets of disordered materials based on density functional theory calculations and training machine learning models to accelerate the predictions. This work will involve collaboration with Assoc
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand disease
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stability prediction Collaborating closely with experimental researchers for iterative model refinement Publishing high-impact research at the intersection of AI and molecular design Supervising students
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microscopy, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand