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Field
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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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, 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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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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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
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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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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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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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-doctoral position you will work on the development of membranes for resource recovery, particularly critical minerals and metals from liquid waste sources. You will have a PhD in Chemical Engineering
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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