298 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at University of Sheffield in United Kingdom
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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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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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, and integrate multimodal datasets from multiple sources (e.g. images, clinical records, spreadsheets, digital systems) Essential Application/Interview Understanding of data privacy, ethical handling
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Heterogeneity in the development of antisocial behaviour School of Psychology PhD Research Project Self Funded Prof Richard Rowe, Dr CB Stride Application Deadline: Applications accepted all year
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telephone and email enquiries. Essential Application/Interview/Exercise The ability to work as part of multiple teams and on own initiative, developing positive relations with others Essential Application
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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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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
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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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Ability to work proactively to multiple deadlines, using own initiative and with minimum supervision. Essential Application/interview Excellent customer service skills, with experience of responding
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experience to identify, evaluate, and implement established and emerging technologies. Your key objective will be to develop robust and efficient manufacturing processes that drive significant step change