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: CSC367H1S - Parallel Programming Position 1: CSC367H1S, LEC0101 Position 2: CSC367H1S, LEC0201 Please note, this position is a 0.5 FCE appointment. Course description: Introduction to aspects of parallel
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best practices including node hardening, kernel patching, and compliance across all systems. Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance tuning and capacity
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking a motivated Research Fellow to join the Parallel
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information security, information governance and research teams, you will tackle complex storage challenges and contribute expertise across technologies including parallel filesystems, Ceph-based storage, Linux
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administrative support to a new project called the ‘A randomised, double-blind, parallel group, placebo controlled, trial of bactek for the prevention of lower respiratory tract infections in preterm infants
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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gaining a CCT. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants
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ASIC implementation. You will carry out system modelling, design novel parallel processor architectures at the RTL level (using Verilog/SystemVerilog or VHDL), and drive the hardware-software co-design
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel, key
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of running at scale within high-performance computing (HPC) environments. In parallel, the postholder will undertake the bioinformatic analysis of NGS datasets, generating the data and insights required