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requiring the integration of cross-disciplinary solutions and expertise, including system architecture design, functional analysis, requirements development, and model-based engineering. Additionally
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This project aims to combine causal analysis, large language models (LLMs), and multi-agent reasoning to accelerate scientific discovery in mental health support. Modern psychiatry and clinical
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conversational AI, dialogue systems, human–agent interaction, adaptive systems, user modelling, multimodal interaction, or a related area; Experience with empirical research, preferably including user studies
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for the clinic staff while acting as a change agent, leader, and role model to have all clinical staff work at the top of their licenses/certifications. The Clinical Education Specialist will aim to reduce
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. Assisting in the research and implementation of AI agent-based approaches for automated ontology alignment and semantic integration across distributed systems. Participating in the design and validation
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging Reference number: 2026-0142 Your Tasks We are seeking a highly motivated individual to join an interdisciplinary team
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year. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs. This project
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beyond traditional QA to design intelligent, agent-based testing capabilities that automatically analyze requirements, understand application code, generate reusable test assets, and continuously improve
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Institute of Urology is seeking a Data Scientist. In this role, the Data Scientist will support the design, development, testing, and deployment of agentic AI workflows within a healthcare environment. Based
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, and proficiency in use of AI concepts, including machine learning, deep learning, and agentic AI, and how models are developed, trained, and validated ● Demonstrated familiarity with AI tools and their