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. Characterise and optimise the algorithm for signal data processing for real-time cell analysis and sorting Develop a user-interface platform for end-user testing of clinical samples. Support lab procurement and
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integrates polymer design, processing, and experimental characterization to establish processing–structure–property–performance relationships. Through these contributions, the Research Fellow will support
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. Manage the day-to-day operation of the experimental apparatus. Procure chemicals and consumables. Mentor and co-supervise junior researchers. Work closely with industry partners. Job Requirements Master
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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engineering, composite science, environmental science, and so on. Key job purpose is to develop green and scalable pre-treatment process for polymer before mechanical or chemical upcycling, particularly
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related processes for energy-efficient separations in areas such as energy, environment, and pharmaceuticals. This position offers the opportunity to contribute to high-impact projects and to work within a
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and adaptation strategies. Key Responsibilities: Designing, installing, and operating long-term and mobile aquatic monitoring stations Conducting field campaigns, processing high-frequency datasets
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from chip. Characterise and optimise the algorithm for signal data processing for real-time cell analysis. Develop a user-interface platform for end-user testing of clinical samples. Job Requirements
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(specifically PCECs). Proven experience in developing and validating numerical models (e.g., using COMSOL). Hands-on experience with programming for numerical optimization, machine learning, and data processing
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to design a neural cell implantation therapy for spinal cord injury treatment. We will achieve this goal through enhanced biological understanding of the regeneration process of nerve tissue together