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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
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models that represent and reason about complex biological systems, enabling predictions and interventions that can alter system behaviour in desired ways. For example, why do cells respond differently
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Deadline: 7th January 2026 One fully funded, full-time PhD position to work with Dr. Viacheslav Borovitskiy in his new research group at the School of Informatics, University of Edinburgh. Our
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involve experimental optimisation, leveraging computational tools, statistical modelling, and emerging AI/ML applications to streamline and accelerate the workflow for complex mixtures and metabolomics
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules