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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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, leaving users vulnerable to data misuse and cyber attacks. Current AI-based security tools often act as “black boxes,” generating alerts without explanation, undermining users' trust and slowing adoption
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global assets projected to reach 62% by 2030. While this growth fosters financial inclusion, it also creates new and underexplored risks at the intersection of technology, human behaviour, and market
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criteria: Knowledge of the molecular basis of ageing, muscle physiology, or the circadian clock. Experience or strong interest in data science, machine learning, or bioinformatics. Exposure to high
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This 3-year full-time funded PhD opportunity in partnership between Department of Life Sciences at Manchester Metropolitan University and Liverpool Heart and Chest Hospital . This project provides
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Project advert Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent
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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow
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of the candidate We are seeking a highly motivated and compassionate individual with a strong academic foundation in allied health (e.g. physiotherapy), exercise sciences, or psychology, and a genuine interest in