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Are you interested in studying innovative educational practices in both secondary and higher education settings? Are you passionate about improving the quality of STEM (Science, Technology
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and efficient models that could in principle replace complex and heavy simulation models. Our goal is to develop and evaluate surrogate models in an industrial setting. You will work towards the future
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pyrolysis of (bio)methane, which captures carbon as solid by-products, is an important step towards the decarbonization of industries and to reach the Paris agreement. Your aim will be to develop novel
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targets – in overseeable timeframes – will only be possible if radical innovations are made in the way we develop and deploy offshore renewables: floating wind energy structures. The HybridLabs project aims
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Revolutionize neuroscientific visualization with real-time cinematic tractography. Join our innovative PhD project to develop cutting-edge brain visualizations, bridging the gap between data
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with industrial partners. Motivated to develop your teaching skills and coach students. Fluent in spoken and written English (C1 level). Conditions of employment A meaningful job in a dynamic and
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algorithms based on measured date. Preferable you will demonstrate the algorithm in a real-time demonstration set-up. Besides research you will also contribute to education within the department. Apart from
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on innovation. As part of this PhD project you will: Identify the most relevant societal stakeholders, end users and applications that would benefit from the optical circulator. Develop an overview of industrial
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, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full
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this project we will develop a Monge-Ampère-based algorithm to design 3D optical systems where light beams can be split and rays may follow different paths. This is important for applications as it may lead to