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Information Engineering Machine Learning and Data Science Embedded Systems and hardware-oriented development Modeling and simulation of complex systems Experience with Python, MATLAB, and/or C/C++ Strong
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Dallas County Community College District | North Chicago, Illinois | United States | about 15 hours ago
Services, The Student Care Network, and other college and community partners. Health Promotion Programs are provided within an integrated care model within the Dallas College Student Care Network. Health
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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SPECIFICS The Beat Childhood Cancer Research Consortium at Penn State College of Medicine, Department of Pediatrics, in Hershey, PA, is seeking an innovative and highly driven Postdoctoral Scholar
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Assistant/Associate Professor of Practice in Human-AI Interaction, Machine Learning, and Data Design
that are applied within industry and socio-cultural contexts and result in partnerships, projects, publications, patents, contracts, and awards. Candidates should hold a PhD in computer science, engineering, or a
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and demonstrate fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning. Demonstrated ability to develop
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Fixed term until June 2027 Bundoora (Melbourne) Classification: Level A - Base salary from $84,205 + 17% superannuation Hybrid work model support About the position The Research Officer will support
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professionals and NVIDIA systems engineers. Software needs include supporting reproducible research, interfacing with real-time systems and databases, and translation of AI models for a variety of deployment
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. The research will focus on developing hybrid learning–control architectures that integrate model-based control and planning methods with data-driven learning approaches. Potential topics include safe
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data