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the European Research Council (ERC-CoG2025). Main tasks: This project aims to develop smart imaging agents based on single particle tracers to image alterations of the blood flow dynamics in cancer by positron
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qualification (usually PhD). Research area: Systems of interacting particles are ubiquitous in natural and social sciences. Typically, they comprise many agents that, through intra-specific and inter-specific
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) and agentic AI in Industrial Internet of Things (IIoT) and operational technology (OT) environments. Modern OT installations—such as factories, utilities, transport, and pipelines—are highly networked
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agents. Your research will explore how reinforcement learning, multi-agent cooperation and generative worldmodels can deliver adaptive strategies that thrive amid volatile, multi-asset markets, micro
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Title: AI-powered red agents for enhanced cybersecurity PhD Studentship: CyberQuarter. A PhD studentship that comprises tax-free stipend of £20,870 (increasing in line with UKRI per annum), tuition fees
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
combination with immune checkpoint inhibitors, and determine the impact of combination therapy versus each agent alone on lymphoma growth. Since anthracycline chemotherapeutic drugs can induce immunogenic cell
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candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental evaluation. The position is hosted
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will contribute to developing intelligent agent that supervises energy-efficient compute offloading over distributed edge and cloud. The application deadline is December 12, 2025, 2025 at 11.59 PM
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. Implementation of agents for mMTC. Experimentation with a developed prototype and analysis of results comparing them with state-of-the-art approaches. V - Initial grant duration: 3 months V.I - Renewal Possibility
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of new steel grades. To this end we will design agentic multi-modal models, whose components will be trained on legacy data, and which can be queried to provide a prompt-based summarization of relevant