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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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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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research program that leverages emerging technologies, artificial intelligence, predictive analytics, and advanced research platforms to surface donor opportunities, enhance prospect strategy, and improve
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predictions of population resilience and evolutionary responses to environmental change. The project builds on recent work developing a "development-centric" approach to demography (see Smallegange 2026
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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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analysis. In this role, you will perform design engineering and support manufacturing and fabrication of reactor core components, fuel elements, control rods and plates, etc. You will also handle maintaining
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
density on flat dishes can detach altogether and get complex shapes, depending on their initial orientation. By controlling the orientation, we can predict the final shape, in the same way that the folds in
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warning and adaptive control to ensure safe and reliable human–robot interaction. The PhD project will develop AI-empowered predictive models that anticipate network delay and instability using historical
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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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, 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