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(PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and
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anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated Applied AI for Healthcare and
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team for a fixed-term project. The successful candidate will be responsible for developing and validating objective texture testing methods that can accurately categorize foods within the International
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alignment with the project’s research objectives. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College
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detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a diverse team of faculty
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. Job Description: We are seeking a highly motivated Research Engineer to join our team for a fixed-term project. The successful candidate will be responsible for developing and validating objective
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the project’s research objectives. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data
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detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a diverse team of faculty
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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to proposal development, and strengthening industry engagement. Co-supervise undergraduate, Industrial Master and Doctoral students in alignment with project objectives. Ensure compliance with Work, Safety and