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platform and coordinating the integration and testing of commercial cellular equipment. The candidate must have fluency in multiple programming languages such as bash scripting, C++ and Python and comfort
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Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive
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skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines
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coordinating the integration and testing of commercial cellular equipment. The candidate must have proficiency in multiple programming languages such as bash scripting, C++ and Python and comfort to operate
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personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming
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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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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