8 multiple-sequence-alignment Fellowship positions at Indiana University in computer-science
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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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computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences. Other general responsibilities
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing different organometallic cofactors for new
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for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences. Other general responsibilities include: Actively
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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own academic research and administrative activities. This involves small scale project management and coordinating multiple aspects of work to meet deadlines. 2. Adapt existing, and develop new
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pathophysiology of the inner ear using multiple genetic mouse models and a novel human stem cell-derived 3D inner ear organoid model. We study genetically-mediated hair cell and neuronal degeneration in these model