8 phd-engineer-machine-learning PhD positions at University of Groningen in Netherlands
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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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learning approaches and contributing to the development of better (bio)catalysts and drugs? We are offering three fully-funded, 4-year PhD positions at the University of Groningen or the Technical University
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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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, thus enabling a safer application of metal AM technology. During this project, the PhD candidate will 1)establish an ultrasonic vibration testing platform for metal AM parts; 2)develop and perform
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gained will enhance the understanding of AM variability, thus enabling a safer application of metal AM technology. During this project, the PhD candidate will 1)establish an ultrasonic vibration testing
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directed evolution of biocatalysts predictable by machine learning. As part of the ML-GUIDE team, you will closely collaborate with researchers to identify commonalities and distinct aspects of engineering
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, machine learning, and latest state-of-the-art biochemical analysis tools. You will explore how active enzymes drive cytoplasmic motion and how this influences cellular function and life itself. This is a
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will have the chance to use cutting-edge techniques, including super-resolution microscopy (PALM, Smdm), single-particle tracking, machine learning, and latest state-of-the-art biochemical analysis tools