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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan
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research teams led by Prof Knight, and Prof Screen working collaboratively at Queen Mary. The PDRA will interact with a team of academics, PDRAs, and PhD students, working on related organ-chip models, as
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to and from Potters Bar station and Hawkshead Campus Potential applicants wishing to discuss this position informally are encouraged to contact Prof. Daniel J Brockman on +44 (0) 1707 666281 or email
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position informally are encouraged to contact Prof. Daniel J Brockman +44 (0) 1707 666281 or email: dbrockman@rvc.ac.uk
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expertise in machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Associate should have proficient programming
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can be directed to either Prof Dirk Werling (dwerling@rvc.ac.uk ) or Dr Thomas Gobbetti (t.gobbetti@forcefieldtx.com ).
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station and Hawkshead Campus Pre-application enquires can be directed to either Prof Dirk Werling (dwerling@rvc.ac.uk ) or Dr Thomas Gobbetti (t.gobbetti@forcefieldtx.com ).
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is Prof Cally Tann. We are seeking a Research Fellow in Early Child Development & Disability to coordinate the development, implementation and evaluation of the programme, including: mixed methods
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closely with Dr Ija Trapeznikova , Dr Ahu Gemici and Prof Juan Pablo Rud . As part of the research team, the RA will work on cleaning, standardising and organising secondary data for a number of developing