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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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invites applications for one post of Assistant Professor (Lecturer or Teaching Fellow) in Computer Science/Computer Systems to join at its exciting new campus in Leipzig, Germany. Located in one
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each other by being open and fair and promoting diversity, we build strong communities by working effectively together in a supportive way and we create positive change by being ambitious in our learning
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the application of machine learning methods to optical satellite imagery in Google Earth Engine. The new dataset will then be used to advance understanding of the dynamics of supraglacial hydrology in Antarctica
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record in fundamental Machine Learning (ML) research, and evidence of using ML and AI methods to solve challenging problems. Ideally, you will have an application focus in at least one of the following
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-class research. Funded by a £13m investment from Research England, MARS will transform research at the interface of dynamical systems modelling and machine learning to deepen understanding