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or Knowledge: Strong background in Python; data analysis tools (pandas, xarray), climate data storage formats, such as NetCDF and Zarr. Familiarity with version control (git). Basic skills with geospatial and
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experience with Linux, Python, and at least one additional programming language. Proficiency in software development best practices, including version control (Git) and CI/CD pipelines. Experience working with
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computer science. Experience: Experience in python including torch and scikit-learn libraries – preferred with experience in working with image data or unstructured text data with large language models. Preferred
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Python or Javascript that highlights how Globus might solve a customer’s problem? Are you equally at home presenting a high-level solution architecture and doing a code walkthrough with a customer’s
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tools such as Salesforce, Tableau, Enterprise Data Hub, Python, and CRM Analytics to develop strong analytical resources. Assists in preparing data and analysis to support senior leadership in decision
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experience in supervising research assistants and students. We’re particularly interested in candidates with technical skills to support experiments including expert skills in R, Python, and use of online
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. Experience with cloud platforms (AWS, GCP, Openstack), CI/CD, and Agile methodologies. Preferred Competencies Programming skills using Python (preferred), Golang/Javascript (a plus), or other languages like C
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: Knowledge of machine learning techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant
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date. Experience: A minimum one year of relevant research experience. Technical Skills or Knowledge: Demonstrated proficiency in R, STATA, Python, or a related software. Preferred Competencies
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) and HTML/CSS. Proficiency in SQL/NoSQL databases, Python, and R (desirable). Preferred Competencies Strong organizational and communication skills. Ability to work independently and collaboratively