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Field
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PhD candidate to work on advanced modelling of fillet welds in aluminium structures. The project focuses on understanding how weld geometry, alloy composition, thermal history, and manufacturing
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the geometry and operating parameters of the system to achieve the project's ambitious targets: a 10 K temperature span, 100 W of cooling power, a 20% improvement in COP over conventional systems, and a 30
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begin with designing appropriate device geometry employing a broad spectrum of analytical, semi-analytical, and numerical techniques. Based on the results of the design process, a device will be
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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effective flow control strategies Develop ML models to predict complex flows in porous media configurations Design optimised porous media geometries for enhanced mixing efficiency. Training opportunities
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, geometry-driven AI-based methods are to be researched and developed in order to be able to automatically generate the corresponding process steps and parameters using CAD design models. Your tasks: Research
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? You will grow two-dimensional hydrothermal vents on a microfluidic chip and quantify the vent geometry from your data. You will assess how geochemical mineral composition and inflow rate determine vent