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educational vision Your research qualities are in line with the faculty and university research policies Excellent communication skills and fluency in English You act with attention to quality, integrity
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university research policies Excellent communication skills and fluency in English You act with attention to quality, integrity, creativity and cooperation During the doctoral scholarship, you will
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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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thesis in the field of molecular exercise physiology. You will publish scientific articles related to the research project, and you will disseminate your results to the scientific community and the larger
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the verbalization and automatic detection of emotions across languages’. In this project, you will investigate and compare emotional language use in different languages using methods from computational linguistics
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cooperation. You have an excellent knowledge of English, and you have very good knowledge of at least one other language, preferably Dutch, German or French, as you should be able to analyse historical sources
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preparation for their oral defence. Submission Your application can be either in English or in Dutch. The rest of the procedure will be in the language of your application. Procedure: Inform Team National
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Learning Agreement is completely filled in and signed, dated and stamped where necessary! Language skills Your knowledge of Dutch and English. Please consult the language requirements in order to prepare the
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cooperation. Proficiency in English, and strong communication skills, both oral and written, are required. You are highly motivated, and you like to work in an interactive and dynamic research and clinical team
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in the context of building energy modelling, scenario modelling or life cycle assessment of buildings is highly recommended. You can communicate fluently (both orally and written) in English. You can