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, predictive models), AI‑driven network functions (closed-loop control, optimization, anomaly detection, intent resolution). You are familiar with cloud-native development (Docker, Kubernetes), CI/CD pipelines
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manufacturing machines and advanced mechatronic systems, rely on ultra-reliable, low-latency, and deterministic communication between distributed sensors, controllers, and actuators. Ensuring such performance
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breed x system interactions. Including e.g. milk-based parameters according to other WPs, production system specific early prediction models for the control of endoparasites will be developed
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systems, including renewable energy sources and energy storage systems. Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy
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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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to the development and refinement of analytical models, including predictive and spatial models, under the guidance of senior technical staff. The role supports translating quantitative outputs into meaningful
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, but detrimental for multitasking. It is assumed that cognitive control prevents multitasking to shield learning efficacy. However, the framework also predicts that multitasking capacity should increase
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, Purpose of the Job We are looking for one Research Associate to work on the development, implementation and testing of predictive control algorithms for the optimal coordination of available multi-energy
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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will also collaborate with a postdoctoral researcher and another PhD candidate on creating new GPU-enabled pharmacophore searching algorithms. Prospective validation will be achieved by predicting