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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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The National Center of Excellence for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), based at Department of Clinical Medicine, Aalborg University (AAU) in Copenhagen, is looking
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate
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at Aalborg University, Aalborg campus, and become part of the Cracks in Composite Structures (CraCS) research group. The research group focuses on the predictive modeling, characterization, and quantitative
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implementation or comparable tools. Experience with one or more relevant methods, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy
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Human-Robot Interaction in industrial settings, in terms of monitoring psychophysiological states, predicting fatigue and posture risks, and detecting cognitive strain to provide timely cognitive support
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leakage and the project ACE Water, in the topic degradation in LTEL and HTEL stacks and developing lifetime models, life-time predictions and the validation of them. You will be expected to contribute
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for noise prediction from cavitating flows around ship propellers. How to apply Your application must include the following: o Application, stating reasons for applying, qualifications in relation
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in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical
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artificial intelligence and machine learning for clinical decision-support systems and disease prediction modeling to join our research group. The successful candidate will develop and apply advanced AI