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position within a Research Infrastructure? No Offer Description The position targets the design and evaluation of novel architectures, programming paradigms, and parallel algorithms for AI accelerators
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between subdomains. You will also develop and optimise parallel algorithms for large scale execution on HPC systems, contributing MPI, OpenMP and memory efficient components with strong emphasis
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conservative transmission algorithms that ensure consistent exchange of information between subdomains. You will also develop and optimise parallel algorithms for large scale execution on HPC systems
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- Knowledge and experience with Python, Fortran and/or GPU computing - HPC and parallel libraries such as OpenMP and MPI - HPC parallel IO libraries such as HDF5 or NetCDF - Experience with supercomputer tools
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algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting
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performed, including proliferation, clonogenics, apoptosis, reporter, and imaging assays. In parallel, this position will involve RNA extraction from these statin treated cell lines for RNA sequencing
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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, Integrate the DNAm datasets with longitudinal eHealth records to build epigenetic signatures of healthy ageing, which we will then track longitudinally in parallel with other hallmarks of ageing using six
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for the generation of clean H2 from non-ideal water streams, looking at oxygen evolution and parallel purification reactions. The candidate(s) will also work with the team to scale-up of the system in area, number
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. We will use those nanobodies to identify stable partners of a5 receptors and in parallel we will develop proximity labeling approaches to capture transient partners. Comparison of WT and mutant cells