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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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years. This position will work primarily on a Center for Bioenergy Innovation (CBI) project, in which we are developing new approaches to cost-effectively convert biomass into realistic biofuels. https
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using Landsat, Sentinel, and PlanetScope datasets for remote sensing applications; possess advanced computational skills, including data visualization and proficiency in Python, R, or MATLAB; have
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++ and Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is
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reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation for amplicon, and prepare metagenomic sequencing. Collaborate with a diverse team
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—are encouraged to apply, with opportunities to grow in other areas through collaborative mentorship and team-based learning. Department of Human Centered Design The Department of Human Centered Design (HCD https
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statistical skills. 6. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications
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members and collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions regarding
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability and biomanufacturing challenges, mentor students