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evolution, Illumina sequencing, data analysis and machine learning and structural biology methods such as X-ray crystallography and CryoEM. Track record of research: This will include achievements, and
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, including solid-liquid interfaces, rheology, fluid dynamics across scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in
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in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs
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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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and its stakeholders. You should hold a Master’s or PhD (desirable) in Computer Science, Artificial Intelligence, Machine Learning or a closely related field. We are looking for a candidate who has
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++, Python, LabView) and firmware development. Working experience with IoT, data analytics, artificial intelligence, machine learning, etc. Working experience with various development boards systems like
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quantitative data analysis methods such as machine learning and behavioural classification in ants is essential. You will be ideal for this position if you are well-organised, eager to learn new skills and
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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integrating Machine Learning (ML) with physics-based degradation modelling will enhance early fault detection, reducing unplanned downtime. This PhD is hosted at Cranfield University, a global leader in
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culture or legal practice-oriented and legal skills teaching. These posts are open both to those with a research background and to those with legal practice or teaching and learning experience who will be