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of engineers and developers from multiple disciplines to develop novel solutions for the high-value manufacturing sector. You will be expected to deliver tasks with support from senior colleagues, work
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Deciphering the evolution of male sexual ornaments and female preference in stalk-eyed flies School of Biosciences PhD Research Project Self Funded Dr A Wright Application Deadline: Applications
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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multidisciplinary team at the Integrated Manufacturing Group (IMG) to develop novel solutions for the high-value manufacturing sector, you will conduct research into specific technical fields, including Discrete
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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apply your mathematical modelling, coding, and ultrasound instrumentation expertise to develop and implement innovative solutions for sensing particulate materials within a dynamic business environment
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within a team, you will leverage your extensive manufacturing experience to identify, evaluate, and implement established and emerging technologies. Your key objective will be to develop robust and
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Overview Data Connect, a service within the University's Research and Innovation IT team, is seeking an enthusiastic Data Scientist to contribute to the development and delivery of multiple health
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fully with the requirements of the knowledge transfer partnership scheme, including personal development and reporting. This includes attendance at residential training courses. Work across multiple sites