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Field
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, biology, and medicine? We’re seeking a talented Scientist to join our dynamic team! Our mission is to develop novel PET imaging agents for widely metastatic cancers and to develop novel radioligand
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. Specific projects seeking applications are: Accelerating the discovery of inorganic solar-cell materials via a closed-loop, fully robotic synthesis–characterisation platform driven by multi-agent machine
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simulated agents. By systematically manipulating the social conditions (cooperation vs. competition, solo vs. group foraging) and landscapes (poor vs. rich resource availability, clustered vs. uniform
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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
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RAICAM aims to train a cohort of 10 PhD students to work on the next generation of mobile robots for inspection and maintenance of industrial facilities. RAICAM will develop a multi-domain, multi-agent
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basic understanding of, and a strong interest in, one of the following topics: Logic-based reasoning approaches, for example formal argumentation, or Formal aspects of autonomous agents and multi-agent
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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that release huge amounts of CO2. SusMet focuses on the exploration of carbon-free sustainable metallurgy, employing hydrogen as reducing agent, direct electroreduction (electrolysis), and plasma synthesis
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, interaction of nanoparticles with various mammalian cells will be studied to determine the ability to deliver bioactive agents into cells. Lipid nanoparticles are critical delivery systems for a wide range of