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wider subject area or subject specialism A3 Knowledge and hands on experience of radar sensing and machine learning Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject
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Job Purpose To make a leading contribution to a project Machine Learning Accelerated TCAD Simulations working with Prof. Vihar Georgiev. The successful candidate will also be expected to contribute
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experience in a related field, appropriate to an early career researcher C12 Technical skills to apply machine learning techniques to classify animal behaviour from accelerometer data Experience Essential: E1
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specific skills including machine learning and/or programming C2 Research creativity and cross-discipline collaborative ability as appropriate C3 Excellent communication skills [oral and written
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) or equivalent in a relevant subject or a cognate discipline with specialist theoretical and practical knowledge of machine learning/AI and cloud-based computing/visualisation and its use in medical diagnostic
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knowledge and skills in a similar or number of different roles For appointment at Grade 7: A2 A PhD or equivalent qualification/experience in statistics, machine learning or data analysis. Desirable B1
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or techniques Desirable B1 Specialist knowledge of energy efficiency of mobile communication systems and/or machine learning Skills Essential: C1 Excellent programming, algorithm development, and mathematical
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research priorities. They have expertise in analysing next generation sequencing data, metagenomics, transcriptomics, data integration, molecular evolution and phylogenetics, machine learning, software
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, theoretical and practical knowledge of computer programming, machine learning and an interest in synthetic chemistry. A3 A comprehensive and up-to-date knowledge of current issues and future directions within
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. We are looking for someone with expertise in one or several of the following; integral projection models, movement ecology, population ecology, machine learning, or animal-borne telemetry