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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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handling of RNA samples. Desirable: D1. Skills in gene-editing techniques such as CRISPR-Cas9 and transfection D2. Skills in library preparation for Next-Gen sequencing. D3. Skills in analysis of Next-Gen
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conduct laboratory-based research focusing on multiple myeloma and its precursor conditions. Based on the mission of the lab, the successful candidate will be responsible for identifying novel biomarkers
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Baltimore, MD, or Washington, DC , to investigate the foundations of human normativity and how these insights can inform the development of AI systems aligned with human values. The ideal candidate will have
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description The PhD project aims to explore how multiple layers of gene expression regulation—including DNA packaging, transcription initiation, and translation—interact to control gene activity. Using
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Gillian K. Hadfield is an AI researcher focused on the technical and policy challenge of ensuring that AI is built in safe and aligned ways that promote human well-being across the globe. She has
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, histology, immunohistochemistry, immunofluorescence, RNA sequencing, proteomics, metabolomics, and related data and statistical analysis; Prepare manuscripts for publication in peer-reviewed journals
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, we use cutting edge genomic techniques such as duplex sequencing, long-read sequencing, and single-cell DNA and RNA sequencing. We are also actively developing new experimental and computational
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that conjugating siRNAs to peptides that bind receptor X will enable targeted delivery of disease-modifying agents directly to affected joint cells. This project will: 1. Identify optimal siRNA sequences
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interdisciplinary teams to align AI research with ethical standards and best practices in AI safety. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research