12 parallel-computing "University Hospital" Fellowship positions at Queen's University Belfast
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these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel computer codes using the Message Passing Interface (MPI). This is
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About the job: This project, led by Queen’s and involving a consortium of the 4 NI HEIs, aims to deliver a research-informed and evidence-based development programme for school leaders
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processes, control systems, communication networks and cyberattacks. The Research Fellow will contribute to the development of mathematical and computational methods for safety verification, reachability
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The post holder will join an Invest NI funded program working towards control and optimisation of ion beams driven by high-power lasers and their potential applications. The experimental work will
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This 48-month Research Fellow post is funded by the Administrative Data Research Centre Northern Ireland (ADRC NI) funded research programme, led by Dr Aideen Maguire (Director), which is part of
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within the NIHR BioResource Centre Maudsley. The GLAD-MHG Omics Cohort, builds on the existing NIHR BioResource GLAD Study (>38,000 participants). The new programme will recruit an additional 12,000
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computer science, mathematics, engineering, or a related physical sciences discipline. You will bring strong research experience in cyber security and programmable networking, supported by a publication
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-free topology (i.e., the theory of frames and lattices) to tackle questions arising in tensor-triangular geometry. There is a particular focus on computing specific examples arising from stable
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for SHM and post processing techniques e.g. computer vision Experience in NLFEA of concrete structures Impact loading To be successful at shortlisting stage, please ensure you clearly evidence in your
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engineers, computational scientists and other stakeholders and policy makers. FortranFuture will strengthen the existing community of practice, establish an interdisciplinary research network, undertake