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- “Distribution mechanisms and risk prediction of fungal pathogens and antifungal resistance in urban waters”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no
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) background and experience in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given
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) develop algorithmic frameworks and agentic workflows for application in specific domains; (c) evaluate the performance of the proposed approaches; and (d) perform any other duties as assigned by
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- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S. H. I. E. L. D.)”. He/She will be required to: (a) develop machine learning models to predict optimal
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point cloud techniques for geometric analysis; (b) develop and implement algorithms for 3D perception; (c) design and execute experiments to evaluate validate and refine algorithms and systems; (d
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and model merging/fusion; (b) develop secure, scalable and efficient infrastructure for data management, distributed training, model evaluation, deployment and ongoing model improvement; (c
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The appointee will assist the project leader in the research project - “Enabling secure and resilient distribution grid operations through physics-informed topology learning and coordinated network-load
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knowledge; (d) develop reliability-aware diagnostic methods involving uncertainty quantification, confidence calibration, conformal prediction, out-of-distribution detection, and unknown fault recognition
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] Duties The appointees will assist the project leader in the research project - “Failure mechanism study of atomic layer deposited coating on aluminum alloy gas distribution disk surface”. Qualifications