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-cell genomics/computer science (AI), neuroscience, vascular biology, developmental biology, cancer biology, immunology, biology/biomedicine, pharmacy, biomedical engineering, or related fields with ample
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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The School of Chemical Engineering is seeking a Research Fellow with a background of Soft Matter at Surfaces and Interfaces, to address a series of fundamental challenges underpinning strategies for designing
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work alongside renowned academics and researchers in ENU’s School of Computing, Engineering and the Built Environment. If you are someone with expertise in multimodal speech processing and AI algorithms
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excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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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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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic