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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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Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
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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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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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, 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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computational methods to predict novel, disordered materials with application, e.g., for solid electrolytes in next-generation batteries. The position is part of the Villum Young Investigator project titled
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. Responsibilities and qualifications Guided by initial AI predictions from the Weinstein group and microbiology results from the Tolker-Nielsen Lab, your main responsibilities will be to design, synthesize and
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The National Center of Excellence for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), based at the Department of Clinical Medicine, Aalborg University in Copenhagen, is looking
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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