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application process here. About the project The rapid integration of renewable energy sources (RES), distributed devices, and digital technologies is transforming traditional power systems into highly
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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modelling and monitoring such complex systems. However, the ongoing energy transition also introduces significant uncertainty due to fluctuating renewable generation, dynamic demand, and increasingly complex
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The position is a 3-year doctoral research
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these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of complex biological systems. Research Environment & Collaboration The successful candidate will work
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application process here. About the position The maritime industry faces increasing demands for safe and efficient operations due to growing traffic, more complex vessels, and higher safety requirements
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these representations can be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically
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to understand complex food systems Ambitious, diligent and self-motivated Committed to contributing to a collaborative and supportive team Genuinely interested in scientific research and its industrial
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29th March 2026 Languages English English English The Department of Chemical Engineering has a vacancy for a PhD Candidate in Process Systems Engineering and Real-Time Optimization Apply
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be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically