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and the ability to handle hectic periods Ability to work on problem solving, programming, data modeling and analysis, scientific writing, and public presentation Ability to work with specific
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work on open-ended projects. Often, collaborative work or tasks are supported or mediated by digital tools, which partake into complex collaboration ecologies. The rise of intelligent technologies
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dissecting the functionality of different EV subsets. Methods include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse
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. To obtain experimental information under such conditions is crucial in order to constrain and improve theoretical nuclear structure models, and to understand how elements heavier than iron are formed in
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and independently on complex tasks. • Resilient and adaptable when facing research challenges and changing project demands. • Excellent organizational and time management skills. Employment in
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
and theoretical prediction Develop independence and be self-driven to advance with their research project Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and
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nuclear structure models, and to understand how elements heavier than iron are formed in explosive stellar environments. The current project is closely related to the research activity “Nuclear Properties
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of Excellence (CoE), the former CoE, Physics of Geological Processes (PGP) and
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. The project explores how entangled social, political and environmental processes shape change. We are especially interested in the non-linear processes of change which are not factored into existing models