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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Landau in der Pfalz, Rheinland Pfalz | Germany | 5 days ago
to develop the research of the position holder into adjacent areas such as computer science, artificial intelligence, or machine learning. Existing or planned involvement in at least one of these areas until
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Preferred Other Computer Applications: SPSS, EndNote Preferred Additional Knowledge, Skills and Abilities: Proficiency in SAS, Microsoft Access, and/or GIS software is highly desired. Email to a Friend https
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and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices. Support grant applications
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AI systems and interpretable machine learning, System integration implementation, Test environment configuration, Validation and stress testing, Deployment and configuration in test environments
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8 Jan 2026 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical engineering
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Preferred Qualifications Additional Preferred Qualifications In-depth knowledge working with auxiliary service operations at an institution of higher learning preferred In-depth knowledge in supporting point
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aspects of research, conducting field research and development of physics guided machine learning models. The primary project focuses for this Part Time Research position deepening the understanding
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Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of
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Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue