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technologies. This individual must operate independently to craft maintainable, testable, and well-documented code. Candidates should have extensive experience in scientific programming in Python and Javascript
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in climate, energy and sustainability issues. Background in quantitative analysis, data collection and management. Excellent writing skills. Coding skills in R and/or Python. Dedication and strong
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or Puppet. Experience designing and managing system and network security. Knowledge, Skills and Abilities: Proficiency with high-level programming languages such as Python, Perl, Bash Preferences: Cloud
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. Expertise with common statistics and programming software (e.g., R, Python). Proficiency in using spatially resolved and georeferenced data. Strong capabilities in presenting analysis via written, visual and
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and statistical skills (e.g., such as Python, IDL, MatLab, C/C++, R, TensorFlow) are required. Candidates at the level of Assistant Research Professor must have a demonstrated ability to independently
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programming in at least one high level language such Perl, Python, bash. Experience with management and development tools such as Puppet, Satellite, Hiera and Ansible. Experience with risk management strategy
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and quantitative skills; Basic knowledge of machine learning techniques; Proficient with Python and/or R programming languages Excellent English oral, written, and interpersonal communication skills
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-oriented programming (Python highly desired) in addition to VBA, Excel, and Database Management Systems, primarily at the undergraduate levels. Knowledge of Artificial Intelligence and Big Data are a
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for web-based applications. - Designing and developing training materials. - Managing data integrations from various source formats - Excel and python data transformation skills - Project management
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previous work experience. Opportunities exist in the following areas: · Programming and analytics (Python and R) and Web application development · Database management, enterprise data management, and cloud