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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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the following areas: Machine Learning/AI, Internet of Things technologies. For further information, please contact Prof Gyu Myoung Lee G.M.Lee@ljmu.ac.uk . In return, we offer an excellent benefits package
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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to reach carbon net zero by 2050. Between 40 to 50% of the carbon footprint of a litre of milk is attributed to CH4 production in the rumen (Huhtanen et al., 2022) which also has a negative impact on animal
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) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background
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-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically
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so, you will play a key role in advancing hydrogen turbine technology and supporting the global transition toward green energy and net-zero emissions. Why this project is unique A major highlight of
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, Attosecond science , Biological Physics , Biology , Biophysics , Biophysics/Soft Condensed Matter Theory , Biotechnology , Casimir effect , Chemical Engineering , Chemical Physics , Chemistry , Coherent
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potential. Our research focuses on Materials physics; Quantum technology; Soft & living matter; and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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refractive index. This funded PhD studentship will develop 3D-printed optical metamaterials to sculpt ultrashort laser pulses for next-generation spectroscopy, sensing, and light–matter control. The student