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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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communication skills in written and spoken English. Proficiency in programming with high-level languages like Python. The following will strengthen your application: Familiarity with open quantum systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
components of the role. Our UNC group is an integral part of the Triangle Universities Nuclear Laboratory (TUNL) (https://www.tunl.duke.edu/), a Department of Energy Office of Nuclear Physics Center
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preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
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/ ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working independently and
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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is $45.47 - $82.13 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits