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We are looking for a highly motivated and dynamic Programme Manager to take up an exciting role working with principal investigator, Professor Alejandro Frangi, to develop and deliver a world
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Applications are invited for a behavioural science fellowship with a focus on workplace resilience, performance and wellbeing, jointly hosted by GCHQ and the University of Manchester. The fellowship will provisionally run between April 2025 and March 2026. Organisations such as GCHQ provide...
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programme Current first-year PGRs are eligible to apply for the general CSC scholarship scheme, though not the joint scheme. If you would like to apply for the general scheme, please contact CSC directly. The
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. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave
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, specialising in computational fluid dynamics or a closely related discipline. Expertise in the development and analysis of numerical methods and code for research in fluid/continuum mechanics is essential. You
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data acquisition systems including wave gauges, motion capture and image acquisition systems, (iii) acquire experimental data in a wave flume, (iv) perform numerical simulations to evaluate the response
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parallel strategies. One will be to undertake high resolution analysis of breast tissue composition and its response to tamoxifen. The second will be to use machine learning analysis of serial mammograms
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Hub. You will work well within a team, be organised, accurate, numerate and familiar with Oracle Financials. You will possess a good working knowledge and experience of the MS Office suite including
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home-based working. You will hold a PhD in a relevant subject area (or equivalent) and be expected to coordinate and manage a global, mixed methods, multi-site research programme, including Patient and
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, current methods of chemical synthesis are not scalable and are limited to <10Kg batches. To synthesize high volume products required for the treatment of common diseases, more scalable and sustainable