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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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state and federal agencies. The appointment is for one year with the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness
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fixed-term position, eligible for renewal based on grant funding. Northeastern University's Institute for Experiential AI has established a position for a ML Performance Engineer, Computational Biology
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Oct-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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have 1+ years of experience in using Neo4j and high performance computing. Must have familiarity with knowledge graphs and metrics for assessing performance of RAG systems. Must have experience in
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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of the didactic component of the Physician Assistant Program curriculum, ensuring the high educational and medical quality of the didactic curriculum, program organization and administration, and
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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and organizational agility when problem-solving and project managing. You desire a supporting role in transforming and automating business processes, deploying a reimagined, data-driven performance