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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network, human agency means the practical ability to understand AI
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interdisciplinary project with strongly established international collaborations. As a result, you will travel internationally to collaborators’ labs to learn different approaches and develop your own research
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) for education and professional practice, both at the individual level and/or in collaborative contexts. The project should explore how AI and other emerging digital technologies shape and transform work tasks
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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probabilistic modelling, latent-variable methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning
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willingness to learn Swedish. A valid driving licence. Personal qualities, including curiosity, initiative, reliability, organisational ability and willingness to collaborate, will be important in the selection
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collaboratively in field and multidisciplinary research settings. The following are desirable: Experience of fieldwork, particularly forest inventories or field experiments. Experience of GIS and spatial data
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Investigator. Strong knowledge of qualitative research methodologies and familiarity with participatory research approaches are an asset. During your PhD, you will collaborate with the PI and a postdoctoral
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-source scientific software library. You will be part of a larger project at the Uncertainty in Complex Systems lab (PI: Dr Max Hinne) aimed at learning which statistical and/or computational model is most