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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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will use the suite of machine learning tools that is readily available in Python packages. In other words, we will not focus on the development of new machine learning tools as everything we need is
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Organisation Job description The advent of modern machine learning (ML) methodology is accelerating scientific progress by streamlining research across disciplines. In chemistry, it enables
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We have openings for two Assistant Professors to strengthen our position in the following fields: Machine Learning / Pattern Recognition Machine Learning / Generative AI Machine Learning / Pattern
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in the following fields: Machine Learning / Pattern Recognition Machine Learning / Generative AI Machine Learning / Pattern Recognition Machine Learning and Pattern Recognition are subareas of AI aimed
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-GUIDE project, we will make directed evolution guidable and, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
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Are you passionate about observational astronomy and love supporting students in their learning process? Do you enjoy combining hands-on technical work with educational impact? If you enjoy working