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environments. This project will focus on extending a Python-based workflow for compositional tuning and oxygen-vacancy formation in layered Li transition-metal oxides relevant to battery cathodes. The workflow
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Department of Library and Information Science seeks part-time lecturers for its
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implementing novel and innovative tools, technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: https
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Manager, ITS Infrastructure. For more information about ITS, please visit our website: https://its.umich.edu/ Cellular Core, Network Automation, and DevOps Engineering (50%) Contribute to the design
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field. • Preferred experience in computational biology, single‑cell perturbation data analysis, and programming in Python or R. • Interest in machine learning, cancer genomics, and single‑cell
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, benefits, etc., are currently subject to negotiation with the appropriate union. To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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health, or related field, plus at least two years directly related experience required. Advanced knowledge and proficiency in statistical programming (e.g., R, SAS, Python, Stata) preferred; prior
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ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python for software and