216 developer-"https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
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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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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position At the Department of Design at NTNU we educate designers with
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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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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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, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a multidisciplinary network of leading research groups and industrial
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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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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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”. 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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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
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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