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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving patterns, and AI-ready data transformations. Support RAG/semantic
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departments. Familiarity with AI tools, including major large language models, semantic search and natural language processing, and AI-enabled OCR, and accessibility-focused remediation tools. Awareness
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Semantic Technologies. The candidate is expected to strengthen the capacity of research and supervision of the group in knowledge representation, in particular, logics for multi-agent systems. Many
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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systematize existing perturbation strategies. - Define transformation classes that preserve both semantic behavior and security properties. - Design a principled perturbation taxonomy covering: Syntax-level
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rely on syntax-level heuristics versus security-relevant semantics. All experimental artifacts, code, and results will be released in an open-source repository. The selected candidate will be integrated
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in Micro- & Optoelectronics
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, Cognition and Neuroscience, and the Centre for Translation Studies, which serve as vital hubs for both research and practical application. More information about the Department can be found at https
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the preparation of data and metadata for their future integration into the semantic web, with a particular focus on the technical aspects, by developing methodologies that enable the integration of musicological