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four (4) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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anemia, cancer and palliative care. Patient care needs are identified through interdisciplinary assessments, team care planning, and a patient classification system. A multi-disciplinary approach is used
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identification elements)*; Experience in developing multi-agents with LLM. * mandatory requirement Work plan: The candidate will carry out R&D activities within the scope of the operation A-MoVeR - Agenda
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, or Full Professor whose research and teaching advance core areas of AI, including, but not limited to, generative AI, neuro-symbolic AI, neuromorphic AI, embodied AI, multi-agent AI, human-centered AI
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three years ago; - Relevant experience in conducting research in IoT, Multi-agent Systems, Asset Administration Shells, and RAMI4.0; - The candidate's training and experience must be appropriate
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relation with energy generation, CO2 sink building materials synthesis and materials recycling. In the frame of this project, the recruited researcher will specifically work on: (i) the multi-scale
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-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with analyzing multi-omics data
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and artificial intelligence. This role offers a unique opportunity to support the development and evaluation of a multi-agent Retrieval-Augmented Generation system designed to accelerate understanding
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distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) – Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and