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located across 5 European countries. MonaLisa is at the forefront of artificial molecular machine research, setting the stage for breakthroughs in chemical synthesis, nanotechnology, medical treatment and
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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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Molecular machines are essential for biological processes such as molecular transport, DNA maintenance, and motion. The ability to design and control synthetic molecular machines offers
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PhD Towards Human-Made Molecular Machines: Functional DNA-Rotator Motors (V25.0077) « Back to the overview Job description Molecular machines are essential for biological processes such as molecular
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covers model derivation, model reduction, and numerical simulations. In collaboration with the rest of the PI's group (4 PhD's + 1 Postdoc + undergrad students) at the Bernoulli Institute for Mathematics
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. This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The student will be housed at the Department of History of Art, Architecture
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advocating for a more inclusive understanding of material culture. This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The student
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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