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situated in the College of Creative Arts, Technology and Engineering. The purpose of the role is to support teaching and learning through the delivery of modules in conjunction with the Course Leader
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, you will work to develop and implement machine learning approaches to identify lakes and lake drainage behaviour, and to deploy these workflows at scale. Based at Lancaster University, you will join our
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training. Teaching and Learning is important to the Department and University and all applicants will be expected to be able to play a full role in teaching across the undergraduate and postgraduate
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substantial experience in developing complex AI or machine learning models, particularly using Python and associated libraries such as PyTorch, TensorFlow and Scikit-learn. Demonstrated expertise in version
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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spectrometry techniques (QTOF, MALDI-TOF-TOF and triple quadrupole). Our ideal candidate will have: Experience in water, mass spectrometry and data engineer A PhD (or equivalent) in mass spectrometry related
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, ideally at postgraduate or professional levels. A solid grounding in applied data science, including statistical methods, machine learning, and Programming. Experience delivering flexible, inclusive
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skills field, ideally at postgraduate or professional levels. - A solid grounding in applied data science, including statistical methods, machine learning, and Programming. - Experience delivering
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We are seeking to appoint an experienced AI Research Specialist to develop, test, and implement AI/Machine Learning models for the analysis of real-world healthcare applications using NHS data
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is