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today’s dominant day ahead optimised system to tomorrow’s dominant real-time adaptive optimised system? If you are eager to work on a fundamentally new system operations methodology that utilizes
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Uncertainty in Artificial Intelligence (UAI) group is a growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl ). In the DAI cluster, we aim
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within walking distance of the central train station. In addition, we offer you: Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10
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project; an enthusiastic and warm team that is open to new colleagues; an inspiring academic and international working environment in the heart of Amsterdam. The starting date is flexible, but the aimed
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for the following 32 months, contingent on a positive performance evaluation within the first 12 months. The employment contract is for 38 hours a week. The preferred starting date is 01 September 2024 or as soon
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quality and aquatic biodiversity as well as the contribution of the technologies to circular economy. Finally, you can compare the environmental performance of the innovations developed in the project
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PhD position in “Economic Life Cycle Costing and Life Cycle Sustainability Assessment of Hydropower”
into economic costs (monetization) to allow for a comparison and aggregation of internal costs and environmental/societal externalities. Finally, you will integrate the economic analysis into a broader life cycle
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and MSc education, including grades. A short description of your most recent accomplishment (master’s thesis, final project report, etc.). References (contact information) of two scientific staff
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international employees. Because we expect you to work and live in the Netherlands our team of advisors on Dutch immigration procedures will help you with the visa application procedures for yourself and, if
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for international employees. You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20. Work and science require good employment