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strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing and modeling complex data, motion capture, character
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: Financement public/privé IMT - Futur, Ruptures, Impacts 2026 PHD title: Doctorat en Mécnique et Génie Civil PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
Health Workforce Research Center, and Behavioral Health Workforce Research Center. The Data Analyst will * Perform data cleaning and statistical analysis using SAS, Stata, R, Python, and SQL. * Perform
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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Infrastructure? No Offer Description The Centre for Lithospheric Research (https://clr.geology.cz/ ) was established in 2012 within the Czech Geological Survey on the basis of an initiative by the Czech government
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Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python
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analytical teams and complex projects Demonstrated expertise in enrollment financial modeling and revenue forecasting in higher education settings Technical Competencies Advanced proficiency in Python, SQL
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Conocimientos de sistemas LLM y GenAI. Evaluación de modelos. Programación en Python. Specific Requirements Programación en Python. Diseño y
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of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools