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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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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
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people across disciplines and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics
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the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is