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Over 80% of adolescents worldwide are physically inactive, and adolescent diet quality is often insufficient for optimum health and well-being. Given the rapid technological and environmental
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learning) and model-driven (physics-based) methodologies. Our goal is to integrate the precision of computationally intensive atomistic models into macroscopic approaches, while drastically reducing
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of continual learning and Natural Language Processing (NLP) to automate the cyber-attack attribution process . - Establish solutions for automatic identification of attacker-oriented countermeasures
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Description of thesis topic Turbulence in magnetic fields, or magnetohydrodynamic turbulence, is a fundamental process that underpins our understanding of a variety of natural and industrial
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model of complex systems, considering both cyber and physical aspects, and the human element. Use techniques like Attack Trees and Bayesian Attack Trees to predict attack stages and identify compromised
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The Department of Applied Physics and Electronics currently has around 90 employees and conducts research in energy technology, laser spectroscopy, medical technology, electronics, and system
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way to overcome the limit of theoretical methods and measurement technologies to acquire the needed fine-scale data to investigate the fundamental physics. The project will build on the Mathematical
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Physics and Science Education Reference number V34.7563 Job description From a scientific perspective, contact line motion remains a challenging subject for both theoretical, experimental and numerical
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& Security (CISDnS), which will recruit motivated and inquisitive candidates across the themes of Digital, Physical and Biological systems to provide a diverse and interconnected cohort training environment
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr. George Gordon and Dr. Abdelkhalick Mohammad (Faculty of Engineering) Start date: September 2024 Duration: 3.5 years