1,178 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions
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17th April 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in seaweed hydrodynamics Apply for this job See advertisement This is NTNU
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. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Technology development in geothermal energy and deep drilling has
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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engineering, and materials science. The three-year PhD programme includes independent research work in a project involving different branches of science and engineering, and a well-structured scientific
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of light. [1][2] This emerging technology holds enormous potential, offering routes towards new forms of highly parallelised information processing (optical computing), point-of-care diagnostics, next
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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships
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fluids within the porous structure of sedimentary rocks. These processes are critical for both conventional open-loop geothermal developments and engineered systems, including closed-loop configurations
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, they are difficult to search and analyse. The AI: PAGE Lab develops AI tools that transform historical texts into machine-readable and machine-understandable structured knowledge about the people, places and events
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$13,000 per annum a 60-day industry engagement component with the industry partner a structured professional development and training program to develop your applied research skills. Successful students
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. The core innovation is embedding expert judgement, regulatory constraints, and equity objectives directly into policy learning using structured preference feedback and explicit constraints. The framework has