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opportunity to shape the future of medicine. Job Description As a High-Performance Computing (HPC) Engineer, you will support the implementation, operation, and lifecycle management of secure and scalable HPC
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selection cycle and operating the year-round program; set goals and expectations, provide regular feedback, and support staff development in a collaborative, inclusive, and high-performing team culture
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acuity and hearing sufficient to safely perform maintenance tasks, read work orders, labels, gauges, and computer screens, and to detect warning signals, alarms, and unusual equipment noises. The position
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Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in scientific applications of AI/ML in protein biology, cellular systems, and related areas
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neural activity from large-scale, multi-regional recordings Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in neuroscience, biologically
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Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in neuroscience, biologically grounded intelligence, and scientific applications of AI/ML
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initiative, establishing key performance indicators and enabling teams to plan for, monitor, and track impact beyond Harvard. Perform other duties as assigned. Program Management and Administrative Functions
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communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Job Description The Harvard Global Health
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large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI/ML, including the life sciences Interest in alternative architectures and
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communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Harvard International Office (HIO) The Harvard