25 multiple-sequence-alignment Fellowship positions at Indiana University in United States
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complementary experimental approaches, including advanced imaging, dual-species sequencing and custom library preparation, RNA-based therapeutics, and genome editing in both mammalian and bacterial systems
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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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cardiac development, developmental programming, metabolic models, or next-generation sequencing is preferred, and candidates from adjacent fields with a clear interest in learning embryology are encouraged
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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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disease genetics, and large-scale genomic data analysis. Analyze genomic datasets from population biobanks, sequencing studies, psychiatric genetics studies, and other large-scale human genetics resources
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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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populations. This is a full-time, 12-month appointment with the possibility of annual renewal based on performance and funding availability. Salary and benefits are aligned with NIH postdoctoral stipend
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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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of Cardiology at IUSM has multiple research laboratories conducting studies in various aspects of cardiovascular diseases, including but not limited to electrophysiology, genetics and pulmonary hypertension