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Field
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to very high temperatures. Before injection, fuel is used to cool the walls of the combustion reactor. Some applications go further by using active fuel cooling, based on pyrolysis of the fuel before it is
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microarchitectures based on histological data, literature knowledge and information from clinical partners. Mathematical modelling of the development of liver fibrosis and cirrhosis to hepatocellular carcinoma
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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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
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emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization tools (e.g., dashboards, GIS, spatio
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Experience with methods such as Stochastic Actor-Oriented Models (SAOM) or agent-based modeling (ABM) is an advantage but not required What We Offer A supportive, lively research environment with international
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. The preferred candidate will have a strong academic or industrial background in machine learning, trustworthy machine learning and AI, agentic AI, adversarial machine learning, graph-based learning, multi-domain
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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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with simulation modeling (e.g., discrete-event, agent-based, systems dynamics). Special Instructions to the Applicants: The Ph.D. must be conferred before the commencement of employment in
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modeling software. Proficiency in chromatographic and FTIR analytical techniques. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical