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Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing Assistance in Complex Acoustic
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, machine learning, and artificial intelligence. This position is eligible for a partial remote work arrangement. Responsibilities Design, develop, test, and debug complex software programs. Implement and
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Requirements Workplace and Eligibility Conditions Benefits Eligible Yes Benefits at UTA We are proud to offer a comprehensive benefits package to all our employees at the University. https://www.uta.edu/hr
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production support. Experience with Oracle database and SQL; Understanding of OS security weaknesses, vulnerabilities and remediation; Knowledge of network and host security assessment tools. Required Skills
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innovation, security, and excellence in service delivery. UCF IT supports the university’s mission of teaching, learning, research, and community engagement. For more information about UCF IT, visit https
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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model we deploy and support the ecosystem with training, advisory, and AI infrastructure. CeADAR is seeking a data scientist with solid experience in machine and deep learning research and development
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, drive belts, and sheaves without direct supervision. Shall be able to repair or fabricate parts using standard machine shop tools. Shall be able to troubleshoot, service, and perform preventive
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production. The project seeks to improve the reliability and economic value of wind energy through advanced forecasting and decision-support tools. Your responsibilities will include: Developing machine
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-based methodology, encompassing data cleaning and pre-processing, synthetic generation and database creation, culminating in the application of machine tools. Machine learning-based surrogate models will