342 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Harvard University in United States
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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Services, the Program Manager, Risk and Compliance Services, is responsible for maintaining and administering the University’s Anonymous Reporting Hotline, supporting the Institutional Compliance Program (IC
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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) options. The Executive Education department consists of open enrollment, global, and custom program portfolio management; guest services; marketing; corporate sales; program operations; technology services
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); containers (Docker/Singularity); CI/CD; build systems (CMake); version control (Git). ● High-Performance Computing schedulers (e.g., Slurm); cloud familiarity. ● Bonus: one or more compiled/scientific
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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direction of the Director of Research Computing and Data Services, and in close collaboration with LRS research enablement staff. You will partner with Harvard’s cloud vendors, the HKS research community, HKS
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, Harvard is the oldest institution of higher education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/21928164/program-manager
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negotiation, and technology lifecycle management. Systems, Infrastructure, and Security Provide executive oversight of HGSE’s systems and infrastructure, including cloud services, identity and access management
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI