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Field
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agent-based models to understand how RNAs and ribonucleoprotein (RNP) assemblies regulate gene expression, cellular behavior, and subcellular organization. Integration of transcriptomics, ribonomics
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PhD program is research-centered, emphasizing original contributions in: Wearable data analytics and fusion methods Biomedical data analytics On-device processing and performance modeling
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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03.06.2026, Academic staff The Research Group AI-Assisted Healthcare at TUM University Hospital is offering a fully funded PhD position (TV-L E13, 36 months) in a BMFTR-funded consortium on agent
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https://academicpositions.com/ad/eth-zurich/2026/phd-researcher-agentic-ai/2511… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldComputer scienceYears
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industrial datasets. Evaluate and deploy modern AI technologies, including LLM-based assistants, agentic workflows and automation pipelines where appropriate. Particularly for data-readiness, make use
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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stakeholder manipulation across elicitation cycles, and prompt injection attacks targeting LLM-based RE agents. The research is also planned to examine how foundational requirements completeness, traceability
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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. Familiarity with agentic AI frameworks and how curated datasets feed retrieval-augmented generation (RAG) or LLM-based co-scientist systems (e.g., LangGraph, DSPy, or equivalent). Experience with NLP techniques