74 machine-learning-and-image-processing-"RMIT-University" Fellowship positions at University of Nottingham
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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, imaging, or relevant area is essential. The post is offered on a full time (36.25 hours per week), fixed term contract until 31 December 2025. Requests for secondment from internal candidates may be
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responsible for data/image acquisition, analysis and interpretation and for using this information to design efficient heterogeneous photocatalytic processes. This will involve working on the synthesis and
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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(particularly under extreme conditions), and/or the use of machine learning for solid mechanics/stress analysis problems are encouraged to apply. The job description presented here is deliberately broad due
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experience in microbial and cell culture, experience in cell imaging techniques and the ability to present work with clarity and to a wide range of audiences. Further information is available in the role
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. The Research Associate/Fellow will be a human computer interaction (HCI) specialist in qualitative (interview) data collection, analysis, and sensemaking. They should also have a broad understanding of
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
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repair robotic systems. Beyond these core research interests, the UTC also has expertise in: the design of special-purpose manufacturing robotics, non-conventional machining processes (especially in