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Field
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manufacturing; Human–robot collaboration in construction; and Multimodal foundation models and AI-enabled agentic systems. The successful candidate will: Conduct interdisciplinary research in robotics
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. You will build simulation agents that predict materials properties (such as Li-ion conductivity in solid electrolytes) autonomously and at scale, validate them against thousands of real A-Lab
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fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field
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, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website https://www.aplitrak.com/?adid
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the distributed hydrologic model ATS (The Advanced Terrestrial Simulator), coupled to a trait-based plant-soil-microbe model (ATS-EcoSIM). The code provides a framework for three-dimensional hydrologic
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, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website https://www.aplitrak.com/?adid
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 5 hours ago
demonstrated record of skills with machine learning, agent-based, and/or animal movement models Prior experience with the collection and/or analysis of bio-logging, bioacoustic, and/or oceanographic datasets A
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approaches such as system dynamics, causal modeling, scenario analysis, participatory modeling, agent based modeling, or related frameworks. ● Excellent written and oral communication skills. ● Experience
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at developing next-generation anticancer agents and will have opportunities to publish research findings, present at scientific meetings, and mentor graduate and undergraduate trainees. This position is not
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and data from multiple disciplines. ● Experience developing or applying systems-based approaches such as system dynamics, causal modeling, scenario analysis, participatory modeling, agent based