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Research Team ("DESRT") performs cutting-edge research and development on discrete-event simulations and their wide applications, especially, simulations of social phenomena using agent-based models, and
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, as well as understanding how these processes shape the labour market. The research outcome will focus on developing an Agent–Human Sandbox platform, based on standardized scenario simulations and
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-based simulations of multicellular tissues in 3D. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldPhysics » Computational
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, multi-agent platform for the analysis and simulation of complex data. It involves creating clinically interpretable virtual patient models by integrating diverse data types, including radiological imaging
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. Evidence-based Practice Maintains expertise in the ADNP practice model, competency models, and simulation standards of practice. Educates staff on policies and procedures, supporting practice changes based
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. Evidence-based Practice Maintains expertise in the ADNP practice model, competency models, and simulation standards of practice. Educates staff on policies and procedures, supporting practice changes based
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of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
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-agent simulation, and intelligent control. The successful candidate will engage in research aimed at developing agents--whether virtual humans in simulated environments or physical robots--that make
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adverse events in the operating room. An existing multi-agent simulator is already in place, but this thesis aims to improve it in several ways. The first improvement involves establishing a connection
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at the interface of biological physics, agent-based simulations and machine learning to turn quantitative imaging data into a mechanistic, testable model of spindle positioning. In particular, we expect