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least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Baby Ubuntu programme is a group-participatory programme
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Baby Ubuntu programme is a group-participatory programme
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: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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improvement and implementation sciences, evaluation, patient and public involvement (PPI), and economics, and a core team of managers and communication professionals. The KIS programme is supported by KHP
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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The role This an exciting new role dedicated to supporting digital and computing innovation in the South Yorkshire region. Working with the wide range of expertise in the School of Computing and