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of brain development and neurodevelopmental disorders. This person will apply and develop computational methods to analyze datasets of varying modalities, such as RNA-seq, ATAC-seq, and spatial
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molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling Strong written and oral communication skills
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updates that may occur and are applicable. The fellow may also be reimbursed for the amount corresponding to the Voluntary Social Security, in case of adherence to this plan. 11. Selection methods
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analysis by biologist colleagues without formal computational training. ● Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
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state-of-the-art methods generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing different
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for regulatory submissions LEAD THE DEVELOPMENT of a method for researching and communicating changes and meaningful trends in the regulatory environment in the US and pertinent international jurisdictions NETWORK
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laboratory quality management activities, including method documentation, quality control, specimen management, and laboratory safety. Preparing and delivering scientific findings through informal and formal
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designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into interactive visualization and analysis systems. Strong
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Fellowship program supports postdoctoral researchers at the Museum of Comparative Zoology (MCZ) at Harvard University to pursue the discovery and formal taxonomic description of Earth’s animal species. Fellows
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environments, design-based research methods, digitalization and AI preferable in higher education, but background in K-12 studies might also be of relevance. Applicants with PhD thesis that involves studies