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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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Do you have a strong interest in using artificial intelligence and machine learning techniques in chemical engineering to create a safer and more sustainable work environment in the oil, gas
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criteria PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field Significant experience in the analysis of cell- or imaging-based datasets, such as spatial
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the Northeast
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teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our
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-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's proprietary data evaluation
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to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and
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is funded by EPSRC, titled “Adopting Green Solvents through Predicting Reaction Outcomes with AI/Machine Learning”, involving academic investigators from 3 institutions (Imperial College London
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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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to continuous improvement. Contribute to the development of appropriate programmes, modules and lectures in accordance with academic and military learning objectives. Participate fully in assessment