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of a multi-year project, arXiv Cloud Edition (or arXiv CE), through which we are migrating all aspects of the arXiv system to the cloud and modernizing our code base. The goals of arXiv-CE are to improve
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that uses non-coding RNAs as guides to identify and represses genome invaders. In animals, a distinct class of non-coding RNAs called piRNAs suppresses transposons in germline cells, ensuring fertility
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managing effective teams Technical/computer skills, including experience with MS Word and Office productivity tools Working knowledge of appropriate food and health codes Demonstrated skill in understanding
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development of a codebook Support coding of focus groups, interviews Support interpretation of coding Support manuscript prep Requirements Previously involved in Lyme Disease Focus Group Data collection
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data, and local policy administrative data. Research Associates will also help code qualitative interviews with local policymakers. As appropriate, Research Associates will also help de-identify
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management, heat-wave adaptation, digital twins for housing and code enforcement), and as a theme that is cross-cutting in many of these areas, the corresponding issues of privacy, security, and fairness
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(50%) Provide technical mentorship to teams building AI agents with LangGraph, RAG systems, and tool integrations Review code and conduct debugging sessions to troubleshoot complex technical issues
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place to place in the genome, causing mutations in normal genes. However, cells have a remarkable defensive system that uses non-coding RNAs as guides to identify and represses genome invaders. In animals
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create meaningful reports to drive informed, effective decisions is required. The ideal candidate will be fluent in using statistical coding languages such as Python, R and SQL to query large datasets from
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Functions Include Technical Guidance & Project Support (50%) Provide technical mentorship to teams building AI agents with LangGraph, RAG systems, and tool integrations Review code and conduct debugging