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dynamical systems. The position is part of the research project “A Rigorous Framework for Transient Random Dynamics”, funded by the Dutch Research Council (NWO). You will be part of a team with a PhD student
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PhD degree in Chemistry, Material Science or related filed. Solid knowledge and demonstrated skills in polymers chemistry are essential; expertise in physical organic chemistry, coatings and formulation
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa
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(Groningen), and the UK. This post-doc project offers a unique opportunity to work in an international environment and to acquire valuable research experience for someone who has recently completed a PhD in
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the supervision of PhD candidates and we encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own
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, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In
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completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD
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Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science