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Field
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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to hire research assistants (RAs) to support our efforts over the summer. RAs will write software, design algorithms, research new mathematical derivations, and design course materials and both programming
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, information theory, clustering. Familiar with: computer science: tool development, 3D rendering, databasing, multi-threading, parallel port computing. Other qualifying skills & abilities: Excellent written and
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if required. Proven ability to independently plan, execute, and troubleshoot NGS experiments. Strong multitasking skills with the ability to manage and prioritise multiple parallel tasks effectively
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for individuals with a passion for AI research, strong programming skills, and a desire to work at the intersection of engineering and scientific discovery. The role will also provide teaching and training
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contributing to the care of thoracic oncology patients. Our vision is to be the leader in multidisciplinary patient care by employing advanced technology and innovative treatment techniques. Parallel
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of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
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Workflows: Collaborate with computational scientists to optimize parallel computing workflows and port research tools to high-end computing platforms. Automate Developer Workflows: Design tools and frameworks
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semester to execute that plan tied to a course or courses. Engagement may include working with students on assignments, conducting master classes on topics related to the main course or developing parallel
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accessibility or other needs you might have. Application process You must apply for admission to the doctoral programme through the UCC Apply process: UCC's application system In parallel, please provide