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-vision-based quality inspection in manufacturing plants. The system will enable users to drag and drop foundational AI models to build customized AI pipelines for tasks such as image enhancement, detection
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models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration
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. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development
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such as carbon capture, utilisation and storage, as well as business practices and models such as carbon trading and circular economy. Expertise in carbon accounting and carbon compliance rules (e.g
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modelling of infrastructural assets and systems Systems Engineering: Competent in data analytics for the power industry or building services / Experience in integrated digital technology such as AR/VR
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available at all levels from Lecturer to Full Professor in Chemical Engineering or related disciplines. Priority skill areas include: process monitoring and control, industry 4.0, modeling, AI and ML
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following areas is highly desirable: Both design and management of mechanical building systems. Use of BIM software for design and engineering works and develop BIM models as well as knowledge in using CAD
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, computational fintech, robot-human interaction, Trustworthy AI, Explainable AI, Large Language Models, Quantum Computing. We have established research teams in operational cybersecurity, AR/VR/HCI and immersive
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businesses through R&D, pilot production, and commercial manufacturing on a pay-per-use model. Key Responsibilities: Project Coordination and Client Engagement Lead or participate in project discussions with
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such as carbon capture, utilisation and storage, as well as business practices and models such as carbon trading and circular economy. Expertise in carbon accounting and carbon compliance rules (e.g