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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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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
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Science, or a related field. Required Skills/Attributes Proficiency in developing and testing software packages Proficiency with high-level object-oriented programming and scripting languages, such as Python, C
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Environment and 3 Years working in a Virtualization Environment. Proficient with git, Python 3, and bash scripting. Familiar with systems automation and management tools (Ansible, Chef, Puppet). In-depth
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knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with containerization (Docker) and orchestration (Kubernetes
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to Project Management Chapters, Interest Groups, and other Industry groups on project management topics. Fluency in R and Python as well as familiarity with commonly used tools and techniques in analytics is a