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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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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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presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally
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and multimodal neuroimaging data in individuals in the Alzheimer’s disease (AD) spectrum, using multiple quantitative techniques. The candidate will design the infrastructure for these analyses which
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research projects across multiple disciplines. This individual will play a key role in advancing interdisciplinary computational science, providing support for high performance computing (HPC) environments
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regulatory bodies. Ability to effectively present information and respond to questions from physicians, staff, and patients. Ability to handle multiple projects in parallel. Ability to prioritize quickly and
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professional and organizational skills necessary to manage, contribute to, and communicate progress for multiple parallel projects. Additionally, your CV should demonstrate some of the following: University
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ability to prioritize and manage multiple goals Positive attitude in changing fast-paced environments Active participation in improvement of self, processes and goals About UM6P: Mohammed VI Polytechnic
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to optimize computational workloads, data movement, and parallel processing. Trains scientists on using the cluster effectively for AI workloads. Optimizes, deploys, and maintains robust software to support