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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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effects on survival, infection, and evolution. We have developed methods that enable us to study multiple bacterial pathogens in parallel, but we focus primarily on Klebsiella pneumoniae and Mycobacterium
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pneumoniae . This project forms part of an international, collaborative programme committed to accelerating the discovery of new treatments for infections by bacteria. The role will offer you significant scope
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project management skills. A natural problem-solver, with a mindset that “nothing is impossible”. An independent thinker, able to use their own initiative. Ability to manage multiple tasks in parallel
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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel
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responsibilities The Programme Manager will have a key focus on supporting Programme wide data strategy and access for the Cancer Data Driven Detection (CD3) Programme, in addition to wider delivery support for
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Computing, Software Engineering, Computer Programming or Engineering programming. B2 Understanding of Trusted Research Environments. B3 Knowledge of developing parallel software for high performance
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We strive to understand the central nervous system at multiple levels of function, from cells to cognition to social interactions. Our approaches range from molecular, cellular and experimental
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single or multiple applications of sewage sludge to pastures. Environmental pollution 181: 262-270. Takagi, K. (2020) Study on the biodegradation of persistent organic pollutants (POPs). J Pestic Sci 45
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) Activation of AMP-activated protein kinase rapidly suppresses multiple pro-inflammatory pathways in adipocytes including IL-1 receptor-associated kinase-4 phosphorylation. Mol Cell Endocrinol 440:44-56