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Field
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communication (SatCom) systems that can handle networks of varying sizes and configurations without requiring retraining from scratch, while maintaining robustness to changes in node order and network topologies
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integrating new generative models into RL-EDA, such as Generative Flow Networks (GFlowNets [Bengio et al., 2021]) or diffusion models [Lou et al., 2024]. Where to apply Website https://recrutement.univ
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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and the Postdoctoral Research Topic The Gendhi project aims to understand how social relations of domination interact to account for social inequalities in health, from early childhood through adulthood
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sound, and socially just botanical research by focusing on virtual herbaria—digitized collections of plant specimens. From a perspective of integrated history and philosophy of science, it addresses
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of the East African Mountain social ecological dynamics ERC Synergy project (AFRI-CAN; ERC-Portal ). We aim to fundamentally advance our understanding of social-ecological systems in East-African
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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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together historians and social scientists to work with the rich datasets produced over the last decade by the partner research teams (land registry archives, population censuses, migrant arrival sheets
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer