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clusters, including CPU and GPU architectures; Proficiency with job schedulers (e.g., Slurm); Knowledge of parallel and distributed computing principles; Understanding of data security and compliance
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clusters, including CPU and GPU architectures; Proficiency with job schedulers (e.g., Slurm); Knowledge of parallel and distributed computing principles; Understanding of data security and compliance
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to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment to security, integrity, and ethics, including the ability to properly handle personal, confidential, and
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training materials; Demonstrated organizational skills working in a multi-tasking environment and the capacity to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment
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environment and the capacity to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment to security, integrity, and ethics, including the ability to properly handle personal
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training materials; Demonstrated organizational skills working in a multi-tasking environment and the capacity to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment
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: Must have a PhD & experience with education and/or workforce development programs; Knowledge of data analysis techniques in at least one discipline; Excellent written and oral communication skills
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of GPU, parallel, and distributed computing; Understanding of data security and compliance standards and regulations (e.g., CUI, FAR, DFARS, HIPAA); Demonstrated consulting and customer service skills and
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semester but a one course reduction will be approved for the advising responsibilities. Required Qualifications: Terminal degree in a related field; PhD degree in chemistry, or closely related field prior
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40 faculty members, 100 undergraduate students (BS), and 80 graduate students (MS and PhD). Our faculty and students collaborate with local, national, and international research institutions, including