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and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and computational efforts across multiple labs at Harvard's Faculty
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evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials
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Opportunity Title Ruth L. Kirschstein National Research Service Award (NRSA) Individual Postdoctoral Fellowship (Parent F32) Activity Code F32 Postdoctoral Individual National Research Service Award Related
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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Qualifications Experience with teaching, pedagogy, and/or educational technology. Basic coding experience (Python or JavaScript) is advantageous but not required; candidates must demonstrate interest in developing
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and statistical genetics. Potential research projects include (but are not limited to) developing statistical methods and theory for large-scale multiple testing, variable selection, spectral clustering
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, writing, and fine-tuning code for structural model simulation, with a focus on computational performance. Most of the code will use the Julia programming language • Non-linear estimation and other
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Generative AI for career growth and entrepreneurial success. The ideal candidate will be a detail-oriented researcher capable of managing multiple large-scale projects simultaneously. You will take ownership
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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computational efforts across multiple labs at Harvard’s Faculty of Arts and Sciences and Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain