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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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Project Supervisor - Professor Rudy Lapeer The Birth4Cast “Digital Twin” aims to create a subject-specific computational biomechanics simulator of childbirth from prenatal fetal MRI scans
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intellectual disability associated with either a rare genetic syndrome or a co-occurring condition such as autism. People with moderate-profound intellectual disability and complex needs are at high risk for
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then collapses to a hetero-hexameric complex as it encounters MRG15, displacing PALB2 (and other interacting factors/complexes) to form a new MRG15/MRFAP1/nucleosome assembly of unknown function
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, or toxicity. These issues stem from the rigid, hydrophobic, and synthetically challenging frameworks typical of complex NPs. In this project, we aim to overcome these limitations by using biocatalysis, a green
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
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liquid methods, facilitating improved battery lifespan, reliability, and safety during ultra-fast charging and high discharge cycles. However, the multi-scale thermofluid dynamics complexities of boiling
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about the vibrational (phonon) dynamics of a molecule’s interactions with its environment [2]. We will extend this to, e.g., complex molecules, ultimately seeking to identify photonic signatures of non
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essential for identifying ecological tipping points and forecasting climate change impacts in complex marine ecosystems. This project will apply a multi-level approach (molecular, physiology and ecology
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Skills: Research-driven and self-motivated, with a strong passion for energy system related studies. Proficiency in English with strong communication and scientific writing skills. Competency in computer