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multiple functional areas. Works with leadership and relevant stakeholders to assist in financial planning, projections, reporting, and analysis. Supports budgeting processes and reviews financial
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of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. Research may focus on the development of new
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maintaining working knowledge of basic funding formation. Conducts financial analysis; presents financial reports that include committed and available balances across all funds, both sponsored and non-sponsored
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21-May-2025 Harvard Radcliffe Institute 67687BR Position Description Summary: Reporting to the Director of Financial Planning and Analysis, the Financial Analyst plays a key role at the Harvard
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tactfulness. Demonstrated creativity, problem solving, critical analysis, initiative, judgment, delegation, and decision-making skills. Track record of attention to detail and risk-mitigation. Demonstrated
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circumstances, an awardee may submit a written request to the awarding component requesting a reduction in minimum required percent effort, which will be considered on a case-by-case basis. Details on this policy
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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interface between the life and mathematical sciences as part of Harvard’s Initiative in Quantitative Biology and its NSF/Simons Center for the Mathematical and Statistical Analysis of Biology. Funds from
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Experience with quantitative microscopy, image analysis, and coding preferred. Previous research experience and computational experience is appreciated, but not required. Additional Information This is a one
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the Program’s vastly growing contact list. May monitor and reconcile budget(s) including grants, maintain financial documentation, provide information, research, statistics, and analysis. Make recommendations