8 applied-physics "https:" "https:" "https:" "https:" "Inria" Postdoctoral research jobs 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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-end physical implementation of digital subsystems. The work addresses practical aspects of system implementation, including chip tape-out, post-silicon laboratory bring-up, system integration, and
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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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server outputs, to clean, process and analyse genomic data. Calculating and validating a 451-SNV prostate cancer polygenic risk score, including harmonisation of variants, application of published effect
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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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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