192 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Manchester in United Kingdom
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support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further Particulars document which
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: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further Particulars document which contains
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. Neuromorphic sensing, e.g. astronomical imaging (https://www.optera.au/) Software verification tools for space robotics. Electric Propulsion & Space Debris mitigation The University actively fosters a culture of
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made up of five academic departments. For more information, please visit https://www.se.manchester.ac.uk/. We are seeking an enthusiastic and proactive Senior SEM Technician to join our dynamic technical
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annual waves. Further information about #BeeWell can be found here . The Data Manager will lead on data and survey management, analysis and aggregation of the #BeeWell dataset, development of survey
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@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further
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General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight
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Birrell Email: yasmin.birrell@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will
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: Janet Clarkson Email: janet.clarkson@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This
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models. Geometric Deep Learning for Structural Synthesis: Leveraging Graph Neural Networks (GNNs) and manifold learning to optimise complex geometries in medical device design and advanced manufacturing