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omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in developing sophisticated computational pipelines, integrating complex multi-omics
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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). The Project
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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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Machine Learning. The research objective of this position is to design and conduct studies on human perception, to investigate the effect of different visualization techniques on human users. A particular
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scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure
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opportunity through the power of education and contributing our talents to creating a fairer world, and a more prosperous region. We are putting inspirational learning and impactful research at the heart
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tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
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, the successful candidate will be appointed as either a Lecturer (Teaching) or a Senior Lecturer (Teaching). Key responsibilities: Design and deliver innovative teaching and learning materials, including blended
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their engineering careers. Learn more about our Faculty and its programmes here . Further Information The ideal start date for the successful applicant would be mid-November 2025. The position is open for a part-time
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of practical classes and supporting students on undergraduate/postgraduate courses as well as administrative, assessment and exam duties as required. This post will support learning and teaching in