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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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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