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, Computer Vision, and Predictive Analytics while ensuring production reliability and scalability. The Engineer combines technical excellence with strong collaboration skills to help our clients realize
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Bernardes on the control of ADC payload release. Antibody Drug Conjugates (ADCs) are a rapidly expanding class of targeted therapeutics. Much effort in the field has been devoted to the identification
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, including blended cements. Develop curing-specific DoC prediction models and validate against experimental results. Determine the effect of controlled exposure conditions on the DoC of fibre cement materials
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Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN) https://ieeexplore.ieee.org/abstract/document/9515326 Singh et al. (2020
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manufacturing", new AI methods for predicting the outcome of AM printing processes under varying bounding conditions are developed. This involves the design of a cyber-physical system incl. a data management
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. This PhD proposal aims to develop an integrated modelling-prediction-control framework that uses extreme-weather-aware AI to coordinate frequency stability, voltage control, optimal power distribution, and
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control, and IT/OT integration for battery production, including digital twins, model predictive control, industrial IoT, and advanced automation architectures. The aim is to develop next-generation
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, real-time control, and IT/OT integration for battery production, including digital twins, model predictive control, industrial IoT, and advanced automation architectures. The aim is to develop next
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apply AI and data-driven modelling to predict system efficiency - balancing air purification with energy consumption. It will also explore how sensor feedback can control treatment systems and communicate
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frameworks such as COLMAP and Open3D; Ability to develop algorithms for object detection and tracking, 3D reconstruction, and SLAM. Advanced Control and Intelligent RoboticsSolid knowledge of classical and