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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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from end-of-life recycled aluminium to reduce embedded carbon level to below 2 tonnes CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with
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platforms, and an emphasis in deciphering complex protein-protein interaction networks that contribute to the pathogenesis of these diseases. This is a full-time, non-tenure-track position working in
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. There are many challenges on the way – the family of pyrrolizidine alkaloids constitutes of >600 members of various complexity. And we also need the synthetic route to be practical, to be able to use synthesized
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over 600 known members. These compounds pose a significant risk to food safety, yet their full characterization remains a major analytical challenge due to their chemical complexity and natural
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with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
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at the Department. Contact Dr Eikemo for a description of the project: marie.eikemo@psykologi.uio.no Responsibilities Analyze complex datasets from experimental and clinical studies including longitudinal (correlated
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and
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complex urban settings. Together with researchers from the fields of energy modelling, social network analysis and governance, you will develop new spatial energy concepts to integrate the social