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research center for North American history announces its Global American Studies postdoctoral fellowship. This postdoc position, distinct from the Center’s long-standing faculty fellowship, will in winter
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position will use large administrative datasets to study how policy and system factors shape birth outcomes, health care spending, and maternal well-being. The postdoc will work with a national
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advantage of unparalleled computing resources in the academic environment by optimizing AI/ML models including scaling models across a large set of GPUs; building or optimizing LLMs to tackle new
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tools is highly desirable. ● Packaging and environment management (Conda/venv); containers (Docker/Singularity); CI/CD; build systems (CMake); version control (Git). ● High-Performance Computing
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-training, adaptation, or evaluation Experience with agentic workflows, tool use, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance
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candidates will have access to local computing facilities and will have the opportunity to interact and work with researchers in both the Harvard College Observatory ( HCO ) and the Smithsonian Astrophysical
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knowledge of R or SAS Postdoctoral research fellows (postdoc trainees) who are U.S. citizens or permanent residents are eligible to apply. Additional Qualifications Preferred Qualifications Excellent writing
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knowledge of R or SAS Postdoctoral research fellows (postdoc trainees) who are U.S. citizens or permanent residents are eligible to apply. Additional Qualifications Preferred Qualifications Excellent writing
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preprints. Salary is in the range of $67,600 per year, depending on whether a recently defended graduate or already with 1 year of postdoc experience in the Ph.D. lab. The position offers full Harvard
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, RFDiffusion, CellCap, or related systems. Experience with large-scale datasets, distributed training, or high-performance computing environments. Expertise in scientific applications of AI/ML in protein