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to MIT quality standards. The full job description is available at https://web.mit.edu/sloan-hr/jobs/DLLFellowAdvertEntrepreneurship.pdf Job Requirements REQUIRED: Advanced degree (Ph.D. or Graduate
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curated pharmaceutical science and public health databases that can be used for modeling purposes. Information about Dr. Zhu’s research and recent publications can be found on his lab website: https
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. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted at partner
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radiative transfer, and/or precise calibration of astrophysical data. Relevant references: - JWST data: https://ui.adsabs.harvard.edu/abs/2024ApJ...963..158P/abstract - JDISCS: https://ui.adsabs.harvard.edu
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. Responsibilities* Write production-quality code in Python + Django and TypeScript and Vue3 Work alongside platform developers to improve the efficiency of existing platform features Collaborate with product and
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medicine. · Analyze and interpret complex multiomics datasets, including bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics data using R, Python, and advanced
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at least two programming languages including Python Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants
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Location Lexington, KY Grade Level 11 Salary Range $54,080-95,056/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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analyses of imaging, genomics, transcriptomics and proteomics data, as well as statistical analyses of biological data and any other types of analyses that might arise. Most of these will be Python-based
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
Python and relevant frameworks including LangChain, LlamaIndex, Hugging Face Transformers, or equivalent Experience with RAG architectures, vector databases, and embedding models Familiarity with major LLM