19 machine-learning positions at The University of Southampton in Ireland-United-Kingdom
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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are seeking an outstanding candidate for a Lecturer position in Mathematical foundations and applications of Artificial Intelligence and Machine Learning within the School of Mathematical Sciences
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are seeking an outstanding candidate for a Lectureship in broadly interpreted Optimisation for Machine Learning and AI within the School of Mathematical Sciences at the University of Southampton. The School
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. We welcome applications from individuals who wish to innovate research and teaching in mental health with specific expertise on machine learning and artificial intelligence methods. You will hold a
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will need to have excellent written and verbal communication skills, be confident working alongside a variety of colleagues and able to build relationships, as well as being computer literate and willing
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machine learning/AI algorithms to mirror the multidisciplinary team (MDT) process that determines the course of treatment for patients, as a first step to generating an MDT support tool. This will
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successful you will have experience of. Working to high precision using conventional engineering machine tools including but not limited to, Mills, Lathes, Drills and hand tools. Working in a supervisory role
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bioinformatics, epidemiology, systems biology, large-scale ‘Omics data analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans
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with geotechnical engineering experience, geophysical data analysis and machine learning skills. The Research Fellow in Intelligent & Resilient Ocean Engineering – Geoscience will join a large community
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image processing, biometrics, security, machine learning or a related discipline, and the ability to write for publications, present research proposals and results to non-scientific audiences