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techniques, including principal component analysis and machine learning, to handle multivariate datasets and enhance predictive accuracy. As part of the project, the successful candidate will receive training
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the collaborative partner to this CASE application (ForcesWatch ), this project will: (i) assemble open source ‘trace data’ to pursue an investigative analysis of non-governmental military entities; (ii) connect
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propellant space propulsion systems. A significant limiting factor of hybrid propulsion systems is the continuous change in surface area of the propellant grain during the combustion process. This changing O/F
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metal joining technologies. In Tokamak Energy’s fusion pilot plant design, vanadium (V) alloys, especially V-4Cr-4Ti (V44), is the preferred FW/blanket structural material due to its outstanding thermal
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. The department focuses on the production, analysis, and simulation of functionally optimized structures from the nanometer to the micrometer scale in electrochemically active materials, as well as the development
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recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode Materials – These projects focus on developing low-cost, scalable strategies for the direct recycling and
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thereby effectively contribute to cancer treatment. 1) Xanthatin is the primary medicinal component of Xanthium strumarium (cocklebur) commonly used in Chinese medicine. It has a wide range of
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model