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: Multimodal Information Retrieval: Developing novel retrieval frameworks that unify heterogeneous scientific data (text, tables, molecular graphs, images, time series) drawn from massive data lakes
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
6 Jul 2026 Job Information Organisation/Company Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) Research Field Biological sciences » Other Researcher Profile First Stage
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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PRIMARY DETAIL - Salary Package $120,623 (ACA A.8) plus 17% employer's superannuation contribution and annual leave loading. - Appointment Type: Full-time, 3 year fixed term role - Build and expend
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will be either a one- or two-year term of employment, depending on whether the Fellow accepts a full-time faculty position at the University. Drawing on the rich intellectual history of Chicago Economics
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addresses the development of trustworthy statistical and machine learning methods for anomaly detection in such streaming data (time series), potentially extended to spatio‑temporal settings. The emphasis is
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detection in such streaming data (time series), potentially extended to spatio‑temporal settings. The emphasis is on online, real‑time detection, which imposes strict constraints on the computational