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characterize advanced photopolymer materials for DLP/SLA additive manufacturing. The researcher will play a key role in resin synthesis, process optimization, and experimental design. Key Responsibilities
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effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling
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posed by traditional compendial methods. Despite RMM having a shorter incubation period, the dependency of RMM on cells, high operator complexity and challenges in integrating process analytical
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systems, with a focus on thermal integration of metal hydride storage systems. The Research Fellow will develop CFD models, process simulations, and system-level integration strategies to enable efficient
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to bioinformatics analyses. A track record of supervising postgraduate students or early career researchers is important, evidencing leadership and mentoring capabilities. Applicants must showcase a robust
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: Serve as the process lead engineer in both design, engineering and testing of Pyrolysis Reactor Systems Involve in developing the process control narrative To generate project specifications, design
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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performance checks. Monitor scans and troubleshoot basic operational issues during imaging. Reconstruct CT scan datasets using appropriate reconstruction software. Perform image processing, segmentation, and
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, with a self-driven and proactive attitude and willingness to learn new skills. Experience in bioinformatics, particularly with Python or R programming, is a plus. Remuneration will be commensurate with
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related to ammonia-based energy systems under the School of Mechanical and Aerospace Engineering. The roles of this position include: Develop and validate thermodynamic and process simulation models