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), developing multi-shell diffusion sequences in Pulseq, investigating diffusion‑weighted EPI at low field, and comparing the performance of FSE, EPI, and SSFP sequences. You will contribute to open‑source
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of standards for data and integration architecture, models and data management. You will collaborate closely with delivery teams to ensure that proposed architectures are feasible, align with relevant standards
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, where possible, working with the university’s strategy / planning department to ensure the Partnership strategy is aligned with the Institutional Reaching Wider response and reflected in the institution's
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microstructural descriptors (from microstructural MRI and derived features) to improve predictive performance and mechanistic interpretability. • Support imaging methodology by helping develop MRI sequences
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objectives around skills and economic development are aligned to both the agreed funder targets and the needs of the regional and national business community. You will develop programmes of activity
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genetic manipulation, and next-generation sequencing. Nevertheless, we are open to different types of profiles, including those from the industry. This position is full-time (35 hours per week), and fixed
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prioritised for human review and which potential new data should be prioritised for acquisition. To address this challenge we will advance the state-of-the-art across multiple component disciplines; in
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, bioinformatics, exome sequencing data processing and analysis, gene expression analysis Proven ability to publish in national journals. Knowledge and understanding of competitive research funding to be able
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vision for your area that will align to the main IT strategy and the broader University strategy. You will be expected to develop beneficial working relationships with other teams in IT and the broader
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the planning and development of IT service improvements, ensuring alignment with the University’s strategic aims and helping to maximise value from IT services for the University. The Business Partner team will