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Field
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using ML, network-based and agent-based models Integration of histological, clinical and transcriptomic data for precision oncology Translational and innovation-oriented projects linked to clinical
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of multi-agent systems Control and containment: Developing steering techniques and safety measures to guide model behavior, including red-teaming and methods for intervention, guardrails, and safety
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of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
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qualifications: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be
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: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be provided in
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recently developed mathematical theory, linking stochastic, network, and agent-based modelling, describing how this emergent behaviour supports essential maintenance and sharing of contents through
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
interdisciplinary team at the intersection of artificial intelligence, health, and neuroscience. This position focuses on developing next-generation multimodal foundation models and agentic AI systems that can reason
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
interdisciplinary team at the intersection of artificial intelligence, health, and neuroscience. This position focuses on developing next-generation multimodal foundation models and agentic AI systems that can reason
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
: https://computing.mit.edu/mit-multi-agent-ai-postdoctoral-fellowship-program/
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in