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technologies to reduce emissions and enhance energy security. This research aims to develop an integrated process for converting CO2 into valuable chemicals using renewable energy. The approach combines
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partners; prepare collaboration contracts/agreements and support the onboarding process for companies joining the SmartPrecinct ecosystem. Support reporting and documentation of industry partnerships and
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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Requirements: Have relevant competence in feed production, processing, or a related technical field. Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related
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, Physics, Computer Science, Engineering, or related field. 2–5 years of relevant experience after PhD (industry or applied postdoctoral research). Expertise in quantum algorithms and NISQ computing
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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students, researchers, and project teams on user research, design process application, and applied R&D translation. UI/UX Design Leadership Lead the strategic direction of UI/UX design across the Design
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any relevant stakeholders to ensure project can be completed. Any other ad-hoc duties assigned. Expected qualities: Serve as the process lead engineer in both design, engineering and testing
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, process optimization, and food characterization. Key Responsibilities Lead and manage fundamental research projects on mechanical and textural characterisation of meat and novel foods in close collaboration