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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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), the Sustainability Transitions Research Network (STRN) or the European Forum for Studies of Policies for Research and Innovation (EUSPRI). Where to apply Website https://www.academictransfer.com/en/jobs/357988/phd
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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
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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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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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define how AI can support—not replace—human judgment, ensuring that technology empowers rather than undermines trust and autonomy. You will be part of the DECIDE project: a large-scale, NWO-funded research
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). Demonstrated affinity with quantitative genetics concepts and data analysis. Experience with programming in Python, Fortran, Linux or similar software. Good organisational and communication skills in English
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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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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