122 data-"https:"-"https:"-"https:"-"https:"-"LEM3" Fellowship positions at Harvard University
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genomic data from parasitic plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has shed light on
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experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
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imaging data. Strong written and oral communication skills. Ability to work independently and as part of a team. Experience focused on brain or cognitive aging. Special Instructions Interested candidates
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instructions are available at the Interfolio Help Center . Contact Information Meenakshi Verma-Agrawal, Director of Administration and Operations Center for Race, Inequality, and Social Equity Studies William
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11:59 p.m. EST onJanuary 21, 2026. Contact Information Kate Flaherty, Research Programs Coordinator Contact Email kflaherty@fas.harvard.edu Salary Range Stipend of at least $50,700 for 9 months (based
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the following materials in PDF (preferred) or Plain Text Format: 1. Curriculum Vitae, including full contact information 2. Publication List 3. Research Proposal: Narrative proposal of up to two pages describing
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of