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Field
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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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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
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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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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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the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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or Classics). Equipped with knowledge or practical experience of agentic AI or AI-assisted workflows, they will have experience of Digital Humanities research and of working with geospatial data and ArcGIS, as
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radiopharmaceuticals that combine diagnostic and therapeutic functions in a single agent. By enabling personalized treatment strategies, theranostics have the potential to improve outcomes and quality of care for cancer
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 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