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Field
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develops and applies methods for uncertainty quantification, engineering reliability, and risk & decision analysis to support optimal and sustainable decision-making in engineering and environmental systems
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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hydrogen release by means of pressure control Carrying out parameter studies Comparison of different catalyst materials Determination of the pressure dependence of the dynamic hydrogen release Development
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working atmosphere with flat hierarchies and short decision-making processes An interesting and responsible area of responsibility in the context of cutting-edge non-university research Flexible working
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg im Breisgau, Baden W rttemberg | Germany | 13 days ago
highly motivated PhD candidate with a strong interest in experimental and interdisciplinary research on crime and decision-making. You will join our international and interdisciplinary team to advance
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abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg im Breisgau, Baden W rttemberg | Germany | 12 days ago
interdisciplinary research on crime and decision-making. You will join our international and interdisciplinary team to advance this cutting-edge research program on the role of short-term mindsets in crime, exploring
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, repair, remanufacturing, and recycling. The goal is to build a system that can find products and components and match them with incoming requests from various stakeholders. To this end, digital systems
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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• An appreciative, collegial working atmosphere with flat hierarchies and short decision-making processes • An interesting and responsible area of responsibility in the context of cutting-edge non-university research