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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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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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computer science, engineering, mathematics or physical sciences area Recent high quality research experience in machine learning/AI, or both, as evidenced by a strong track record of publications in leading
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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 Social Sciences, Education and Social Work are currently seeking to recruit a Research Fellow. The post will entail supporting the PI with the preparation and delivery the funded
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a relevant PhD. in Civil Engineering. Specific, relevant research experience in population-based SHM of bridges to include: Proven track record of working with infrastructure owners to organise field
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biomedical field of laboratory-based research, for example respiratory biology, biochemistry, immunology or cell biology (*must be obtained within 3 months of commencement of employment) Have significant
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Chemistry, Chemical Engineering, Biochemistry, Pharmacy or closely related area. Significant recent relevant practical research experience of peptide-mimetic synthesis (liquid and solid-phase synthesis