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Commander . Preferred Record of scholarly publications and experience supporting research projects, including data analysis and grant preparation Experience with agent-based models, statistical methods
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efficiently model structured dynamics, such as non-Markovian stochastic processes, and adaptive agents that react to environmental stimuli. The successful candidate will explore this structure, to understand
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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Teaching Specialist-III (RTS-III) position is immediately available to conduct research in the area of mycobacterial host-pathogen interactions and COVID-19 pathogenesis studies using animal models under
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infrastructure systems such as power, water, sewer, and communications systems. It introduces existing physics-based modeling of these systems. It then covers the main tools used to simulate, optimize, and analyze
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-tracking, behavioural data). Your team You will collaborate with several GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based
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fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer
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and biomolecular aggregate with interfaces under different types of external forcings and actuation. The successful candidate will develop new mesoscopic models of ultrasound contrast agents
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research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent and non-permanent), with 3 tutelles, hosted by the CNRS and in total ZRR
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and