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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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parallel, forward genetics will be used to identify novel regulators of the fungal cell wall, and mutants will be studied with the methods above to find potential antimicrobial targets. We will provide
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. To investigate this, we will follow two parallel and complementary paths: conducting experiments in the laboratory and using powerful computer simulations. This combined approach allows us to see both the big
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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. These pollutants have accumulated in soils and vegetation, and remain stored for decades potentially impacting on the food system in the UK. In parallel, current agricultural land management and food production
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London School of Economics and Political Science; | London, England | United Kingdom | about 2 months ago
expertise in high-performance computing (HPC), parallel computing frameworks (such as MPI, OpenMP) and GPU acceleration. Proven experience administering, configuring, and optimising HPC clusters and GPU
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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current contract of employment with the University. Internal Applicants Only - Engineer - Advanced Research Computing at Cardiff (ARCCA) You will work as part of a professional service delivery team
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BBSRC Yorkshire Bioscience DLA Programme: Mechanical microenvironment as a regulator of ribosome biogenesis and cell growth School of Biosciences PhD Research Project Competition Funded Students
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the Edinburgh Parallel Computing Centre), the Generative AI Lab, and the Centre for Technomoral Futures. The successful candidate will contribute to both theoretical analysis and computation experimentation (in