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background in (macro)economic theory, experimental and empirical methods. The ideal candidate will have experience running experiments, along with strong programming, econometric, and writing skills
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excited to work in an interdisciplinary research environment. Required Skills Experience with energy system modelling, a solid understanding of its basic principles, and a commitment to further developing
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
guide experiments, e.g. the stacking fiber system pioneered by Prof. Sijbren Otto at the University of Groningen. Organization The University of Groningen (UG) is a research university with a global
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experience with both qualitative and quantitative research methods. A substantive interest in and extensive background knowledge of violence research, with a focus on gender-related violence. Willingness and
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theory, and synthesize new results; Prior experience with academic writing (existing published work is not strictly necessary, but would help strengthen an application); Openness to picking up new skills
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and feel at home, regardless of differences in background, experiences, perspectives, and identities. We believe that working on our core values of inclusion and equality are a joint responsibility and
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part of this network, you will experiment with approaches to represent non-human animals in decision-making processes. Case studies can include wolves, bears and ocean-related issues such as corals
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position offers a unique opportunity to work in an international, diverse environment and to acquire valuable research experience at a top-ranked European university. The successful candidate will have the
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environment and to acquire valuable research experience at a top-ranked European university. The successful candidate will have the opportunity to develop their academic writing skills, support outreach
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/nature conservation or a similar relevant field as mentioned above; Sound understanding of forest ecology and biodiversity; Experience or strong interest in big data analysis; Proficiency in programming