672 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" research jobs in United States
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Position Details Position Information Requisition Number S4913P Home Org Name Pathobiology Division Name College of Veterinary Medicine Position Title Research Assistant Job Class Code HA01 (A-B
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scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks • Contributions
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. There are two primary responsibilities. The first is to code children's language production, in Spanish and in English. The second is the use of optical brain imaging, functional Near Infrared Spectroscopy
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/Temporary Regular Job Code 8351EC Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Position Summary: The Craft Lab is hiring a full-time (open to part-time as well), temporary
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collaboration with a team; demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code; and a long-term interest in an academic position contributing
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- Intermediate, S1 - Entry Level Support FLSA Code Nonexempt Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 10 Full Time or Part Time? Part Time Shift Day
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- Intermediate, S1 - Entry Level Support FLSA Code Nonexempt Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 10 Full Time or Part Time? Part Time Shift Day
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statistical analysis and coding in MATLAB/Python. The lab’s research focuses on understanding neural circuits in the descending auditory system, specifically how auditory brainstem neurons encode acoustic
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Institute of TechnologyCountryUnited StatesState/ProvinceCaliforniaCityPasadenaPostal Code91125Street1200 E California BlvdGeofield Contact State/Province California City Pasadena Website https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
(e.g., instruction tuning, domain adaptation, RAG pipelines), with evidence in publications, open-source code, or deployed tools. - Strong experience in LLM/genAI evaluation and benchmarking, including