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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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. 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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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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object-oriented programming and scripting languages, such as Python, C++, Java Experience with high-performance computing environments. Understanding and experience with Python frameworks, such as Pandas
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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 detail and capable of maintaining accuracy in work. Additional Desirable Qualifications An interest in learning statistical programming in R, Python, or a comparable language. College-level coursework in
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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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, and supervise research assistants and staff to help with participant recruitment Verify participant data daily to ensure collection is accurate and process data with MATLAB, Python, and R scripts as
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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