253 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"U"-"O.P" positions at University of Sheffield
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research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance
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m.p.sanderson@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will consist of an interview. We plan to let candidates know if they have progressed
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resources, and plan and progress work activities on multiple projects Desirable Interview Further Information Grade Clinical Academic Trainees Salary £52,656 - £73,992 Work arrangement Full-time Duration 30
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planning, student intake forecasting, tuition fee setting and new programme financial viability assessments. This involves collaborating with other professional services teams, analysing complex information
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that the selection process will take place on a date to be confirmed. This will consist ofpresentation and a formal interview. We plan to let candidates know if they have progressed to the selection stage on the week
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process It is anticipated that the selection process will take place on Tuesday 23rd September. This will consist ofan interview and a test. We plan to let candidates know if they have progressed
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experience, leading to timely achievement of their apprenticeship programme. The Engineering Skills Coach will be responsible for the delivery of any CPD programmes, within their specialist area, which
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programme of research. This may include managing time, materials, finance and equipment. Disseminate research findings/results through the production of papers for high quality journals and presentation
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minutes for all trial meetings within an appropriate time frame. Prioritise and plan own workload according to operational demands/deadlines with minimal supervision and a proactive approach. Be the first
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): Programming: HPC (GPU), MPI Fortran / C, C++ Kokkos, Python, Perl Solar physics (numerical modelling with Lare 2d, 3d / MURaM / Bifrost / R2D2) Experience working with large-scale datasets, ensuring efficient