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of Norway, focusing on the development of soft hairy surfaces for flow control and vibration-based soft robots. The overarching goal is to develop a new understanding of fluid flows coupled to complex and
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). The research will provide a fundamental understanding of the physical processes that arise when droplets interact with soft fibres of complex geometry. A central focus is to develop a new understanding of
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vibration-based soft robots. The overarching goal is to develop a new understanding of fluid flows coupled to complex and actively driven surfaces. Specifically, the projects aim to uncover the fundamental
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institutionally embedded across governance levels. Within this broad area, relevant topics may include perspectives on organizational and institutional theory, complex adaptive systems, and co-creation of value in
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This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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for position as PhD Research Fellow in Statistics and Data Science available at Department of Mathematics. Preferred starting date as soon as possible. The fellowship period is three years. No one can be
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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at Kjeller, Lillestrøm. Job description The Martian atmosphere is a dynamic system, shaped by complex physical and chemical processes operating across a wide range of timescales. This PhD project will
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countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses