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Field
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Demonstrated experience with programming codes such as Python or R Demonstrated experience with LCA tools such as Brightway, openLCA or SimaPro Understanding of biomass conversion research and knowledge
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
to perform sequencing library preparation. Must be able to analyze high throughput sequencing results and run analysis code in python. Preferred Qualifications, Competencies, and Experience Preferred 4 years
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, Python (Programming Language), R Programming Questions Empty heading For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation Empty heading
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following areas: foundation models, multimodal learning, LLMs, AI agents, or trustworthy AI. Proficiency in Python and PyTorch Responsibilities Research Conduct independent and collaborative research in
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evaluations, including experience with quality assessment tools for economic studies. Programming skills for reproducible research workflows (e.g., GitHub version control, R Markdown, Python for data processing
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, or probabilistic reasoning. Proficiency in Python, C++, or MATLAB, with demonstrated ability to implement complex algorithms. Excellent written and oral communication skills. PREFERRED QUALIFICATIONS Experience with
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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computational skills (e.g., Python, R; simulation or optimization tools) • Experience working with real-world datasets, ideally including clinical, operational, or health-related data • Excellent communication