8 requirements-engineering "https:" "https:" "https:" "https:" "https:" "https:" "HFML FELIX" Postdoctoral positions at University of Manchester
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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building practical technology demonstrations of the fabricated silicon. This position is embedded within a long-standing research programme on vision sensors and neuromorphic computing circuits in
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fusion science & technology, in the Tritium Science and Technology (TST) research group at the University of Manchester. The TST group conducts research focused on tritium behaviour in materials, tritium
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aspects of these new architectures. Additionally, the role involves interfacing with high-speed sensors and building practical technology demonstrations. This position is embedded within a long-standing
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for: Receiving, securely storing and managing genomic data in line with University, NHS and study governance requirements. Performing genotype and imputed-data quality control, including sample-level and variant
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wall polymers. This will involve the implementation, execution and analysis of advanced molecular simulations, the use of machine learning techniques and deployment on state-of-the-art high performance
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: [email protected] General enquiries and administrative support [email protected] Technical and job portal support https://jobseekersupport.jobtrain.co.uk/support/home This
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administrative support [email protected] Technical and job portal support https://jobseekersupport.jobtrain.co.uk/support/home This role is not eligible for Skilled Worker visa