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currently funded for 1 year from start date. What benefits do I receive with UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu
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computational and statistical methods. Write, test, and maintain code in R, the primary language for the team’s analytic pipelines; experience with Python as a second language is a plus. Maintain, modify, and
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instrumentation. Experience with Python, model/API integration, retrieval-augmented generation, tool-using agents, scientific databases, and automated experimental platforms is highly desirable. The candidate is
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working knowledge of LAB View. 3. Well-versed in MATLAB. 4. Decent knowledge in signal processing and Arduino programming. 5. Preferable experience in other programming languages such as PYTHON, and C++ is
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Qualifications • Demonstrated skills (or ability to learn quickly) in programming (especially Python and Rust), data science, machine learning, and statistics. • Previous experience analyzing gravitational-wave
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, remediation, transformation, and enhancement through scripting and programming (e.g., Python, PHP, R, XSLT, etc.) and data manipulation tools (e.g., MarcEdit, OpenRefine, etc.). ● Self-motivation, project
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Individual will be tasked with helping support image acquisition and processing software for custom laboratory imaging devices. Prior experience in Python, C++, and software project management necessary; prior
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 10 days ago
languages like Python. The group currently leads development of spaceflight readout electronics for the Probe Far-Infrared Mission for Astrophysics (PRIMA) and the balloon-borne EXperiment for Cryogenic Large
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also assist in the building of an open-access data repository for training scientific AI models. Read more: https://www.nsf.gov/tip/updates/nsf-announces-400m-investment-new-national-network-ai https
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pipelines, ETL workflows, and relational databases using Python, SQL, and related technologies. Experience collaborating across researchers, analysts, and university administrators to define requirements and