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with recommended best practices. Key research activities include designing and implementing DNS measurement methodologies focused on identifying hidden dependencies, analyzing large-scale DNS and
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policy recommendations together with stakeholders and the supervisors. Participate in the activities of The Netherlands Research school for Media Studies (RMeS) and the Netherlands Graduate School of Urban
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of your Master’s thesis/final project) who are willing to provide a recommendation letter upon request. An IELTS-test, Internet TOEFL test (TOEFL-iBT), or a Cambridge CAE-C (CPE). Applicants with a non
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areas include, amongst others, personalised and adaptive systems, user modelling and recommender systems, human interaction with embodied AI, and persuasive technology. You will work closely with other
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potential research interests are described, a cv, grade transcripts and 2 recommendation letters (sent directly by your recommenders). Furthermore, preselected candidates will be interviewed and, if accepted
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are supported with recommendations on how to best improve their sustainability achievements; Leading and working in project teams that vary in size and complexity. These may vary from about five colleagues
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research and interdisciplinary co-design, the project aims to generate theoretical insights, practical frameworks, and institutional recommendations to guide sustainable AI innovation in university teaching
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(s) up to the moment of application (in case your MSc degree has not yet been awarded). The names and e-mail addresses of 2 academic referees who are willing and able to write recommendation letters
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referees who are willing and able to write recommendation letters for you, including the supervisor of your MSc research project. You may apply for this position until 30 October 11:59pm / before 31 October
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are willing and able to write recommendation letters for you, including the supervisor of your MSc research project. You may apply for this position until 31 October 11:59pm / before 1 November 2025 Dutch local