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-minded personality for cooperation with colleagues and co-supervision of students. Willingness to help out with education related tasks (e.g., teaching assistance). Good English language and communication
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practice. You may also gain experience in supervising MSc students and engage in teaching and training. Via our network and tailored mentoring, we will create opportunities for you to develop your career
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We are seeking a highly motivated PhD student to work on stable CO2 hydrogenation catalysts using atomic layer deposition. Within the endeavour of the energy transition, it is essential to develop
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Graduate School which provides a Doctoral Education Programme aimed at developing transferable, discipline-related and research skills. There is a strong emphasis to drive the project in the direction
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that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate
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in federated learning AI Change: Develop a secure, transparent framework for federated learning in untrustworthy networks Impact: Improve accountability, reliability, and trustworthiness of distributed
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develop high-resolution simulations to investigate numerically the interaction of model fibers with the complex geometry of mesh-based filters. The simulations will initially focus on single fibers
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construction and contribute to the advancement of circular economy principles in the building sector. The ultimate goal is to develop a feasible and sustainable recycling technique for fine recycled aggregates
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The main goal of the research is to quantify the impact of hydrate formation on injectivity of CO2 injection well and to develop chemical-based solutions to either inhibit the formation of hydrates
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We are looking for a motivated and independent PhD candidate to develop highly efficient and robust surrogate models of a multi-scale cardiovascular ‘digital twin’ modelling platform. A