219 developer-"https:" "https:" "https:" "University of Aberdeen" PhD positions in Norway
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qualitative methodologies, such as case studies and literature reviews, to gain insight into the characteristics and challenges of the engineer-to-order shipbuilding industry and develop frameworks and
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democratic development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD
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focusing on the development and validation of an integrated phenomics–genomics framework to identify novel root architecture and physio-morphological traits conferring pre-anthesis drought tolerance in wheat
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spray behavior and mixing. Combustion stability and efficiency limits. Duties of the position Follow the faculty’s PhD program. Conducting experimental campaigns on optical and engine setups. Develop and
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demonstrators are expected to be developed and evaluated using concrete design tasks drawn from different phases of the ship design value chain. Validation can include case‑based assessments, feedback from
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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”. The project is funded by The Research Council of Norway and aims to develop a novel electromembrane process of ion separation for recovery of rare earth elements and removal of ionic micropollutants from water
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. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a candidate, you will establish a hybrid numerical and data-driven bioinspired design
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and welfare ” and will focus on behaviour and ecophysiology of sea lice and selected zooplankton species. The project will include methodological developments as well as investigations of behavioral
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science, manufacturing processes, product and structural design, and lifecycle performance. A key outcome of FAST is the development of the FAST Virtual Lab, a digital framework combining experimental data