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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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at the very frontiers of knowledge on climate change, Earth’s climate system and climate feedbacks. Within its 10-year research programme, funded by NWO , EMBRACER brings together a wide range of world
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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collaborating with partners and stakeholders within and outside the project. Writing and defending a PhD thesis within four years. Participate in teaching tasks as part of the program. In the context
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PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of the Faculty
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fixed year-end bonus of 8.3%; excellent pension scheme. In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to
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-MWM) develops and applies holistic approaches which promote sustainable and resilient management of water systems. About the organisation The Faculty of Geo-Information Science and Earth Observation
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. The project will be carried out in collaboration with an industrial partner under the umbrella of the Industrial Focus Group XUV Optics where a multidisciplinary research program on growth, characterization
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates