390 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" positions at Harvard University
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to analyze single cell cross-sectional data, such as single-cell omics, cellular electron microscopy, and optical microscopy data sets. Additional work may entail integrating large-scale cross-sectional data
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Research & Analytics will lead the Office of Institutional Research & Analytics (OIRA), a core function of the Office of the Provost that supports Harvard’s leadership by providing institutional data
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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The Walsh lab is seeking a Fellow to assist with data collection and processing for lab and field based studies of wearable robots. The Fellow should be a collaborative problem solver who is proficient
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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collaborative and international environment. Special Instructions Contact Information For further information, please contact petros@seas.harvard.edu . Contact Email lreck@seas.harvard.edu Salary Range $67,600
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integrity. Identify errors and glitches and address accordingly. Coordinate new title setup with key stakeholders. Input and update data in select Biblio modules to ensure accuracy. Onix Feed and Cover
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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
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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