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research on appropriate statistical and machine-learning methodology in the areas of large scale omics data such as genomics, transcriptomics, proteomics/metabolomics and the integration of these, as
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to the field of research (e.g., 3D dynamic computer graphics, Machine Learning, AI, cognitive science, signal processing, computational modelling). C3 Knowledge of project-specific technical models, equipment
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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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Job Purpose You will contribute to a project Joint Communication and Sensing for future 6G. You will be working on machine learning, reconfigurable surfaces and wireless sensing. The successful
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leveraging recent advances made in multiscale mechanics and machine learning. The candidates should have a PhD, or have equivalent experience, in Mechanical, Civil, Chemical, Material Engineering, Physics
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to ensure ISO accreditation of the NGS pipeline. 2. Provide Systems Administration support for GIA HPC, data storage, and virtual machine infrastructure as well as Mac and Windows laptops. 3. Develop scripts
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Job Purpose As part of a cross-College team, the Learning, Teaching & Student Experience Managers will manage the support services for Learning and Teaching and Student Experience for the School
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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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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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flammable chemicals. 4. Source, manage and maintain all technical equipment used by SCPAHFS e.g. ultrasound scanners, vehicles, washing machine and calving simulator. Identify faults and repair