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coastal climate risk; · Strong coding skills, including experience in Python; · Excellent organizational and communication skills. Familiarity with high-performance computing is a plus. Certifications
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data
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., Python, R, TensorFlow, PyTorch, scikit-learn) preferred. Familiarity of complex information systems architecture, electronic health data, transmission standards for electronic health data, information
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experienced team leadership with hands-on technical depth in modern data platforms, data modeling, and ELT/ETL practices. Ability to evaluate and guide the use of SQL, Python, ETL/ELT frameworks, and other
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, Skills, and Abilities Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, python, etc. Must be computer literate with proficiency and working knowledge
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software development position that requires proficiency in object-oriented programming (Python, Java/JavaScript, PHP) and web (React, Node.js, Flask, HTML, CSS, Json) and database (MySQL, MongoDB, Oracle
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. · Programming fundamentals, data management, and analytics with Python. Position Status Part Time Posting Number 25FA1020 Posting Open Date Posting Close Date 03/31/2026 Qualifications Minimum Education and
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cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention to detail; the successful candidate will record and share
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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, COMSOL/FEA), Microsoft 365 (Word, Excel, Teams), LMS platforms, Qualtrics, python, and assessment tools. Physical Demands and Work Environment Special Conditions Clean Driving Record. Posting Details