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The KTP project will enable DeltaXignia to augment their Compare and Merge software capability by leveraging Artificial Intelligence (AI). Their current offer is built using mathematical algorithms
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employer and are committed to building a diverse team. We especially encourage applications from women/females. Informal enquires about this post may be made to Prof Ricardo Sodré (j.sodre@aston.ac.uk
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from home, which the KTP associate will be expected to follow. The KTP will focus on: Advanced AI and data science, including Machine Learning (ML) and Deep Learning (DL) modelling / algorithms. Best
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to evaluate their efficacy and suitability. Disseminate research through journals, conferences, and workshops. For informal enquiries about this position, you can contact Prof David Saad (d.saad@aston.ac.uk
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are successful in our research bidding activities. For informal discussions relating to this post, please contact Prof Ali Z. Bigdeli a.bigdeli@aston.ac.uk , +44 (0) 121 204 3384. This role may meet the
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project team with Prof Shehzad Naroo, Prof Prasanta Dey, Dr Yang Zhao and the Senior Management Team at Eye-Docs with the support of the IUK’s Knowledge Transfer Adviser. Location: You will be based
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about this position, you can contact Prof Mirjam Roeder (m.roeder@aston.ac.uk )or Dr Abed Alaswad (a.alaswad@aston.ac.uk ). This role may meet the requirements for Skilled Worker visa sponsorship. If you
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Professor Alan Goddard, Professor Roslyn Bill and Dr Alice Rothnie, from the School of Biosciences and Dr Matthew Derry and Prof. Paul Topham, from the Department of Chemical Engineering and Biotechnologies
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can contact Prof Rhein Parri (h.r.parri@aston.ac.uk ) please all cc in Nataliia Manuilovich (n.manuilovich@aston.ac.uk ) This role is likely to meet the criteria for endorsement under the ‘Endorsed
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, you can contact Prof David Saad (d.saad@aston.ac.uk ) please cc in Nataliia Manuilovich (n.manuilovich@aston.ac.uk ) This role is likely to meet the criteria for endorsement under the ‘Endorsed Funder