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programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries. System software stack
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
for identifying protective human gain-of-function gene variants. Supporting the group with (sc/sp) RNA-seq analysis and multi omics integration. Assist with implementation of paralleled microRNA/mRNA single-cell
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together the parallel efforts of 4 climate modeling centers, including IPSL. The successful candidate will be responsible for integrating, evaluating, and testing new parameterizations of air–sea carbon
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systems, ensure flow of multiple projects in parallel, data collection and storage. Reviews and tests robotics operations to define and correct errors and improve the output. Uses AI-based algorithms
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. Supporting parallel TEM-related projects within the Hydrogeophysics Group, including airborne and ground-based EM surveys in other regions such as Kenya. Required Qualifications Master’s degree in geophysics
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these positive early results to develop a range of doped scintillating glass and glass-ceramic monoliths and fibres. The PhD will focus on two parallel objectives: (i) developing multiple glass or glass-ceramic
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accompanied by parallel qualitative work and economic evaluation. 99 general practices in Wales, North-West England and South of England have been randomised to the ‘ThinkCancer!’ intervention or usual practice
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Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will
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to basis set size. We are working on methods that will allow us to solve the time-dependent Schrödinger equation more quickly. In this project you will develop new (parallel) methods based around accelerated
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, parallel execution, and distributed training or simulation workloads. Ensure high reliability of research workflows through robust monitoring, logging, and performance analysis systems. Guide the integration