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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final
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of business administration and economics. We focus on real-life issues that have a huge impact on society, economics and ecology: from robotics to big data, and from job market participation to change
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digitalisation of engineering and operational processes, including requirements management, configuration management, interface management, model-based engineering and operational data management activities
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within the project teams and will benefit from specialist technical support from the Directorate of Technology, Engineering and Quality (D/TEC). Duties Your main tasks and responsibilities will be adapted
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integration to quantum-optical experiments and field demonstrations, within a large European consortium spanning academia, research institutes, foundries, and quantum-technology companies. Information and
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methods like (panel) survey, lab experiments focus groups, and data donation. Each PhD Candidate will write a paper-based dissertation and strive to publish the results of the individual sub-studies in
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spanning photonics, AI-driven ALD, and energy materials. Information Within the Plasma & Materials Processing group at Eindhoven University of Technology (TU/e), you will join a growing research effort in
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challenges. At the Faculty of Science, scientists and students work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity
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-world hospitality contexts. Examples include VR-based classes, immersive learning environments, AI applications, data-driven decision-making tools, and other innovative formats that prepare students for a