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. The lab maintains a wide academic network and collaborates extensively with industry, especially through externally funded European research projects. Key objective of the position: To advance foundational
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opportunity to join a multidisciplinary team at the intersection of AI and neonatal healthcare research, in a world leading network on research for improved newborn care. The candidate will collaborate with
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satisfy the enrolment requirements for the PhD programme at the University of Bergen. We can offer: a good and professionally stimulating working environment including a comprehensive network of
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professionally stimulating working environment including a comprehensive network of international collaborators. salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual
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-based, scalable framework for representing structural specifications and domain knowledge across complex engineering and industrial systems. The lab maintains a wide academic network and collaborates
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. The fellowship period is 3 years. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of
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fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of capillary flow, drop impact, and wetting in fibrous networks
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control methodologies) the project will establish a robust framework for coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing
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, and collaborative international working environment that values diverse perspectives Access to a strong network of top-level national and international collaborators Research mobility funds supporting
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd