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crucial role in understanding and shaping the living environment of the future. We work for and with society. Our motto is: we are making places better together. If you would like to learn more, visit
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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learning, knowledge exchange, and joint knowledge creation. During these stays, 100% of the time of the PhD is dedicated to the research program. As part of NGinfra, the PhD candidate will also have ample
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applications and machine learning. Good analytical skills and a positive attitude towards interdisciplinary work. We offer you, following the Collective Labour Agreement for Dutch Universities: A salary of
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in academic writing in English; preferably mastering some Dutch or willing to learn Dutch. A keen interest in the topics to be investigated in the project, preferably demonstrated by previous work
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and spoken English; experience in academic writing in English; preferably mastering some Dutch or willing to learn Dutch. - A keen interest in the topics to be investigated in the project, preferably
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for computationally demanding applications and machine learning. - Good analytical skills and a positive attitude towards interdisciplinary work. Additional Information Benefits We offer you, following the Collective
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Sciences is strong in research and teaching on human behaviour, thinking, learning, and coexistence. We work on social issues and problems that people experience in everyday life. Individual and societal
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also be requested to teach. This PhD project offers a unique opportunity to develop yourself as an academic researcher and to work local and international research contexts. The PhD project The IJssel
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spoken English. Strong analytical skills. Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD researchers