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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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only advance fundamental science but also engage the public in the journey of discovery. In this specific project “Experimental Exploration of Protocell Formation on Early Earth” we will specifically
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Vacancies PhD position on ‘Quantitative and Spatially Resolved Mechanical and Electrical Characterization of high tech functionalized Pigments‘ Key takeaways In this project, you will develop and
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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couplings enable self-alignment purely through geometry and contact mechanics, offering a fast, robust, and repeatable solution for high-tech applications. Although the concept of kinematic couplings has
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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. The institute provides a collaborative, resource-rich environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering