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- Funding is available for leading conferences Access to High-Fidelity Simulations - The project will use OpenFAST, FAST.Farm, and Digital Twin simulations for AI model validation. ✔ Artificial Intelligence
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- skills – experience: analytical skills, ability to demonstrate good knowledge in system modelling – simulation, (classical or modern) control theories or control applications with evidence Desirable
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations
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services. The PhD will explore innovative workforce models and system-level changes that can improve recruitment, retention, and staff wellbeing in healthcare settings such as general practice, ambulance
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signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing
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2:1 in BSc Chemistry or an MSc in any applied chemistry degree, including inorganic chemistry, chemical physics, analytical methods, simulation and modelling of chemical reactions. English language
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environment. Join us in shaping the future! The position is part of Profi 8 research “Transformation of urban systems” funded by the Research Council of Finland. The work aims at modeling carbon flows
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of bird genomes, working on some of the best-studied avian models (Mauritius parakeet, ringneck parakeet, red-crowned parakeet, and orange-bellied parrot). The PhD candidate will study data from
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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manufactured using plasma spray and mini-combustion flame spray and examined in SEM/EBSD and tested in a burner rig and furnace thermal cycling. As a part of a CDT cohort, you will have access to tailored