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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
international research networks time spent abroad working at one or more internationally recognised research institutions. Finally, applicants are asked to provide a proposal for research to be undertaken within
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behaviour change theory (e.g. COM-B, the Theory of Planned Behaviour, or the Value-Belief-Norm model) as applied to sustainability or circular economy contexts. Experience with citizen science, co-creation
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/or eating disorders, data analysis and statistical modeling. Prior experience working with Danish registers is an advantage. As a person, the ideal candidate will have good interpersonal skills, will
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. Examples of potential research topics: the democratization of the firm; democratic or economic planning; employee ownership; platform cooperativism or socialism; network states; gov-corps; start-up
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faculty here . About the research project The research project will investigate the role of neuropeptide signals on developmental limbic circuit maturation using mouse models. The research project will
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Business School and the Stockholm School of Economics with a network of collaborating scholars, primarily at European universities. Previous postdocs from the group have gone on to academic positions at well
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discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a
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international standard commensurate with the length of the applicant’s academic career experience of participating in national and international research networks time spent working at internationally recognised
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney