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to contribute to the design of forward and reverse supply chains for additive manufacturing in maintenance. The successful candidate will join the Industrial Engineering and Management Sciences (IEMS) section
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Vacancies PhD Candidate Infrastructure monitoring and NaTech disaster response with drones and machine learning Key takeaways The project is part of a large-scale research project funded through
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) section at the Faculty of Behavioural Management and Social Sciences (BMS) for our project: ELSA4TI (Ethical, Legal, Social, and economic Aspects for Technical Industry). Key takeaways Join the University
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project developers, need to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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societal challenges, local decisionmakers, such as municipalities and project developers, need to deal with making implementation decisions in their daily activities as asset manager, investor, construction
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will change develop an assessment approach to determine the benefits a lower demand can provide to infrastructure managers You will be part of a multidisciplinary project with leaders in the domain
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infrastructure managers You will be part of a multidisciplinary project with leaders in the domain of infrastructure governance and modelling. You will learn to conduct research independently and grow
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-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals