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Field
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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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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. The Opportunity: The successful candidate will focus on developing advanced machine learning and mathematical optimisation frameworks for energy system modelling, particularly under the growing presence of offshore
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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
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relevant professional certifications would be advantageous. 10+ years of working experience, including at least 5 in Artificial Intelligence, Machine Learning, Analytics, or a related area.SIT Internal
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Join our dynamic, multidisciplinary team as a Research Associate and make a transformative impact in scientific machine learning and digital twins for healthcare innovation! This role focuses
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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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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
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-of-concept of such systems and have a practical understanding of: Signal processing algorithms, Security and Privacy Antennas and RF sensing Machine learning for communications systems Integrated Sensing and
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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