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Field
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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Kusterer), marketing strategy (Gerrit van Bruggen), deep learning (Sebastian Gabel), consumer and firm networks (Xi Chen), customer analytics (Aurélie Lemmens), and consumer learning (Maciej Szymanowski
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Would you like to work at the intersection of transportation, robotics and machine learning to design mixed fixed-flexible transport networks? Job description The increase of public transport usage
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to design mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient
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, and governments. As a greenhouse horticulture researcher, you will work on these knowledge questions for various clients. Your colleagues, network, existing and new insights, and data will be your
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efficient, adaptive use of multistable networks, offering an alternative to energy-intensive digital systems with rigid bits and separated memory and computation. In this project, we aim to design and realize
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control design tools is a must. This PhD position is part of a European wide network on the security and resilience of critical cyber physical systems, funded by the Marie Skłodowska-Curie Actions Doctoral
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well as communication with different stakeholders? Then we may have the perfect opportunity for you! We are currently looking for a highly motivated Engineering Doctorate (EngD) Candidate (two years, fully funded
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in providing data-driven insights, they often fail to use visualization as a powerful means of interpretation and communication. Most process mining tools provide static and linear representations
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network and managing the VIP participation to launch events with the support of the communication services; monitoring subsidies granted to third parties and memberships. Candidates interested