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People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator
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proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
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, Robotics (two ABB robots), GANT computer-integrated manufacturing demonstrator, dynamics & vibration laboratory and more. We also have a state-of-the-art virtual reality Multiview Cave, 350+ computers and a
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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the Falmouth & Exeter Students' Union (The SU) and the wider, universities partnership we support Higher Education learning and living, ensuring that the interests of all campus users are at the heart
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teaching practices including blended learning and teaching, face-to-face and on-line teaching, and the use of case studies, simulations and/or problem-solving approaches. Strong written and verbal
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
AI-assisted adversarial attacks. You will work on topics such as cybersecurity, intrusion detection, adversarial machine learning, industrial automation, digital twin technology, and reinforcement
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computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles. The aim is to identify host-microbiome molecular signatures that drive
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invaluable in equipping students with the essential tools in the field of human-computer interaction. Falmouth University has consistently demonstrated a commitment to academic excellence and innovation in UX