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in Geographic Information Systems (GIS) and science communication, as well as those who can supervise capstone projects by leveraging prior experience and networks with government, industry or non
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such as PowerShell and Python. Self-motivated and detail-oriented, thrives working independently while managing multiple priorities in a fast-paced environment. Strong written and verbal communication
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working in Agile teams with Scrum/Kanban/etc. PREFERRED QUALIFICATIONS 3 years’ experience with coding in Python or Groovy to transfer, manipulate identity data, and accomplish process automation
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questions, to write well-documented code in Python, and to demonstrate familiarity with machine and deep learning methods. There will be opportunities to co-author publications and contribute to grant
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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to think independently and critically about biological research questions, to write well-documented code in Python, and to demonstrate familiarity with machine and deep learning methods. There will be
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to help with participant recruitment Verify participant data daily to ensure collection is accurate and process data with MATLAB, Python, and R scripts as needed Prepare and maintain IRB materials, ensuring
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to help with participant recruitment Verify participant data daily to ensure collection is accurate and process data with MATLAB, Python, and R scripts as needed Prepare and maintain IRB materials, ensuring
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with internal teams and regulatory agencies. Preferred Qualifications: Experience with environmental data management systems (e.g., GIS, EHS software). Knowledge of sampling, laboratory procedures
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courses in Research Methods, Statistical Analysis, Geographic Information Systems (GIS), and other technical skills for quantitative, qualitative, and spatial analysis. We encourage candidates with