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on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
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of vaccines and antiviral agents. These studies often involve interdisciplinary collaboration combining virological, veterinary, pathological, and immunological expertise. Your tasks will include: • Preparing
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. They work together to enhance our understanding of intelligence, cognition in autonomous agents, and teams of agents in the context of mediatised worlds. The insights are then transferred into a new
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
sustainability in society and active agents shaping narratives By collaborating with heritage sites and the resources of cultural institutions, leveraging their collections, material culture, and local stories as
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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Howard Taylor Ricketts, William H. Taliaferro, Lowell T. Coggeshall, William Burrows and James Moulder. Howard Taylor Ricketts identified rickettsiae as the causative agents of Rocky Mountain Spotted Fever
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electricity price signals, demand-response mechanisms, and time-of-use optimization. AI-Driven Optimization using Reinforcement Learning: Apply RL algorithms to develop and train agents that optimize power
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develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological
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agents into the cells, polymers to stabilise the membranes and the precise control of ice growth. We will use conventional as well as high-throughput technologies, including our in-house platforms
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– Hereby we offer a PhD Thesis focusing on the topic of Transport Modelling for Sustainable Mobility . Our main goal is to further develop and apply the agent-based simulation framework MATSim. The existing