158 computer-vision-and-machine-learning PhD positions at University of Groningen in Netherlands
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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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amounts of language produced by adults or children, we approach the question by employing computational models that learn by finding patterns in language data. Can they learn the different modal meanings
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computational models that learn by finding patterns in language data. Can they learn the different modal meanings simply by paying attention to what they “hear”? Or do they need to come prepared with certain
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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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Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular
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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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dedicated Master's program in Ecology and Evolution that offers extensive fieldwork opportunities. Furthermore, the university-wide Rudolf Agricola School for Sustainable Development engages FSE members in