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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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Find out more and book your place 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
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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