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Field
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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Balancing Personalisation and Polyvocality: Dialogic Interaction for Open-mindedness and Empathy in Conversational AI. The project investigates how conversational agents in museum settings can balance
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atlas-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations
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. The research will also investigate how autonomous vessels affect collaboration and dependencies among stakeholders. Using agent-based modelling and scenario analyses, the researcher will evaluate alternative
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or agent-based workflows. Strong written and oral communication skills, including the ability to explain technical requirements to non-experts. Demonstrated record of scholarly or technical contributions
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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cell transplantation for malignant and non-malignant diseases, extensive development and use of cutting-edge flow cytometry, molecular biology, experimental therapeutics studies on novel agents, and cell
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agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and organizational skills. Demonstrated capability to work effectively in
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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models