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Field
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simulate the demand and supply. Based on agent-based simulations, a series of recommendations are made to reduce the gap between demand and supply on the job market. Furthermore, an online platform will be
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will be analyzed considering various scenarios. To this end agents having similar characteristics to the entities (job seekers and firms) will be defined in an agent-based model, which will simulate
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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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
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mobility services. Develop and estimate discrete choice models for transportation mode choice decisions. Implement and apply agent-based transport simulations to assess demand and modal-split changes under
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$69,073-$82,836, based on experience level at time of hire. See Salary Scale Application Window Open date: April 30, 2026 Most recent review date: Tuesday, May 19, 2026 at 11:59pm (Pacific Time
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and