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% and annual vacation pay of 8%. High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning
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Leiden, which will maximize access to learning opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the
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of infrastructure governance and modelling. You will learn to conduct research independently and grow scientifically through collaboration with researchers from Radboud University, University of Groningen, and
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to learning opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the following criteria: BSc, including synthetic
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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physics, engineering, photonics or a related discipline, and an interest in learning how to handle optical equipment, operate laboratory instruments and analyse data. You have a good basis in optics, laser
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be completed within four years. You are also requested to teach. You will work with the following supervisory team: - Dr. Frank Harbers (co-promoter) - Dr. Rik Smit (co-promoter) - Dr. Scott A
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, conference presentations, and ultimately a PhD dissertation. The PhD thesis is to be completed within four years. You are also requested to teach. You will work with the following supervisory team: Dr. Frank
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impacts practice to contribute to a future-proof built environment. Your profile We are searching for a candidate that: (Shortly acquire) a master’s of EngD degree in the field of construction management
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. We offer a temporary contract for 18 months which will be extended for the duration of the project if you perform well. There are plenty of options for personal initiative in a learning environment