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Vacancies PHD POSITION ON MULTILAYER GROWTH OPTIMIZATION BY HYBRID X-RAY METROLOGY (MOXY Key takeaways Nanometer-thin films are enabling factors in many advanced technology fields such as
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intelligence (AI) for optimising the integration of large-scale Battery Energy Storage Systems (BESS) into smart grids to enhance grid stability and facilitate optimal use of connection capacity. The goal
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of reconfigurable nonlinear processing units (RNPUs, [Nature 577, 341-345, 2020[(https://www.nature.com/articles/s41586-019-1901-0). In this PhD project, you will work on the development of efficient machine learning
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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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of Twente, we believe in making healthcare decisions that truly reflect the needs and values of patients. For that purpose, we are participating in a large international project dedicated to revolutionizing
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friction—to develop novel coupling designs optimized for increased repeatability, thermal stability, and load-bearing capacity. These designs are critical in fields such as: Optical component alignment High
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generative design approach needs to be developed to rapidly design globally optimal (e.g., cost, feasibility, contribution to energy efficiency, resource availability, and potential for mass execution
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be part of a collaborative and inclusive team of around 35 scientists, where personal growth, professional development, and a strong sense of community are highly valued. You will contribute
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact
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) fabrication of the sensor chips in the MESA+ cleanroom and (4) evaluation of the resulting performance in flow and gas property sensing in our MEMS measurement lab. The project is part of the KIC FLOW