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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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. Maintain and document computational workflows and databases for team use and scalability. Support and mentor junior bioinformatics staff, graduate students, and postdocs as needed. Perform other duties as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 42 minutes ago
to high-impact, translational research infrastructure at the intersection of biomedical informatics, cloud computing, and AI. Minimum Education and Experience Requirements Ph.D. in Bioinformatics
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. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 36 minutes ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 07/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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applications. Experience with NGS data analysis, machine learning models, and statistical genetics. Familiarity with cloud computing platforms (AWS, Terra, DNAnexus, Google Cloud). Knowledge of genomic
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design Previous collaboration with experimental biologists
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning