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, DSL/IR design, constrained decoding), integrating formal feedback loops (SAT/SMT/model checking, counterexample- and proof-guided refinement), and developing mechanisms for semantic consistency
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Alzheimer’s disease, semantic memory, and hippocampal–cortical integrity. This work involves hands‑on participation in in‑lab experimental behavioral studies, standardized neuropsychological assessments, blood
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on advanced technologies including semantic/task-oriented data processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due
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disciplines. We work on semantically structured data and interfaces, shared workflows, and contribute to engaging the growing ELM community in digitalized research. To coordinate and support the digitalization
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Motion Planning in harsh and dynamic GPS-denied environments - Autonomous inspection planning with persistent semantic scene abstraction for advanced reasoning and task planning - Multi-agent collaborative
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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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one or more of the following: Knowledge graph construction, querying, or reasoning Ontology engineering and semantic modeling Retrieval-Augmented Generation or knowledge grounding Fine-tuning
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research
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-denied environments - Autonomous Navigation and Motion Planning in harsh and dynamic GPS-denied environments - Autonomous inspection planning with persistent semantic scene abstraction for advanced
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related to staff position within a Research Infrastructure? No Offer Description About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies