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whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
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Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking
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to enroll in the graduate training programme of e.g. the Netherlands Graduate Research School of Science, Technology, and Modern Culture (WTMC), the Sustainability Transitions Research Network (STRN
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for four years, with
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theses and research working groups Desirable qualifications: Good knowledge of modern statistical analysis methods and experience with relevant software packages (e.g. SPSS, R, MATLAB) Initial experience
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, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Information and application Are you interested in this position? Please
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budget, or join networks such as Young@EUR Opens external , FAME or QuEUR. - Time and space for your development in the broadest sense: development days and a personal career budget and free access
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or are willing to acquire the relevant skills during your PhD project. You have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able
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students, with direct engagement from Alzheimer Europe and its networks. This vacancy applies to key issue 4 on model-based health-economic evaluation. Your work will directly inform decision-makers about