98 maynooth-university-programmable-city-project Postdoctoral positions in Netherlands
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- University of Groningen
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- Delft University of Technology (TU Delft); Delft
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- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Vrije Universiteit Amsterdam (VU); Amsterdam
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support schools in operational and tactical planning of learning activities. Design of user interfaces for both tools. Writing documentation for both tools. Organization Founded in 1614, the University
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work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science
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candidates. We offer an exciting opportunity to contribute to an ambitious and international research programme within a highly motivated team, and to conduct your work at a renowned research university
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service quality. To address these challenges, advanced methodologies and algorithms are needed to design effective revenue and inventory management strategies for complex stochastic systems. The growing
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challenges and requiring diverse innovative solutions to tackle these multi-faceted problems. Your job In the framework of the 36 months Horizon Europe project 'Sustainable Transformation of Rural Communities
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with the industrial partner to this project, AkzoNobel. The research will take place at the University of Groningen, but if required, the researcher may be able to use AkzoNobel equipment and will be
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be carried out in collaboration with an ASML Berlin under the umbrella of the Industrial Focus Group XUV Optics at the university of Twente where a multidisciplinary research program on growth
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the Utrecht University Development Programme. As a postdoctoral researcher, you will play a central role in advancing marine mammal health research. Your main tasks include: co-designing and co-leading
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time