181 multiple-sequence-alignment positions at Yale University in Ireland-University-Ranking-2024
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-derived neural cells and relevant in vivo or ex vivo platforms. Key Responsibilities Design and execute independent research projects aligned with the lab’s mission in neurogenetics and neurodevelopment
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algorithmic approaches to method development and discovery. Integrate multiple data modalities to generate and prioritize findings for validation and publication. Collaborate with lab members and external
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contribute to neurological disorders and cancer. Candidates eager to learn and integrate cellular models with next-generating sequencing techniques, and computational biology are strongly encouraged to apply
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that institutional priorities are effectively advanced and aligned across the School Participates in Strategic Planning and Develops Policy Leads and manages a broad and dynamic portfolio of special
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Information Security. Convening and coordinating across multiple unit distributed communications personnel will be critical to successfully operating to align messaging across all IT units and support the
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Responsibilities Clinical Responsibilities The CCRD will serve as a member of the research team for multiple NIH grant-funded projects and will provide medical oversight and direct clinical care including in-person
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to ensure alignment with departmental goals and institutional priorities. Additionally, other duties as assigned. Required Skills and Abilities 1. Proficiency in relevant software and tools such as Workday
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institutionally aligned responses. 2. Ability to work with a diverse student body, faculty, staff, other university constituents, and external organizations. 3. Proven excellent organizational, planning, event
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allograft rejection/failure is highly desirable. The approaches are founded on interpretation of large data sets from human genome level sequence data and/or mouse cell type specific transcriptome sequence
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: • CRISPR screening • MPRA development and analysis • Mammalian cell culture • Molecular cloning • Next-generation sequencing Computational Focus: • Machine learning model development • Regulatory variant