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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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collaboration with societal stakeholders, ranging from policy actors (ministries, provinces) and intermediaries (e.g. network organizations). Using interviews, workshops and observations, you will uncover how
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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 an intermediate
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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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to address the many challenges entrepreneurs find on their path to regeneration. You will closely collaborate with entrepreneurs of the Network Regenerative Practices, hosted by the Centre for Economic
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to a corpus of geo-analytical scenarios with questions and corresponding workflows; collaborate closely with another PhD candidate (question modelling), a postdoc (GeoQA reasoning engine) and a technical
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occurs; and validating these approaches against community and industry benchmarks. The work combines network measurements, data science, and systems security, with an emphasis on reproducibility and real
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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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 distance