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(land, aerial, marine, or hybrid) Distributed decision-making, task allocation, and worksite optimization under uncertainty Energy-aware and resource-efficient collaboration strategies for fleets
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, human-centric systems, and technology deployment. Your research may focus on any of the following themes or a combination thereof: -Design, optimization, implementation, ramp up, and operation of
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processed by advanced and sustainable manufacturing, integrated in the circular economy. The starting point in modern production at M2P is digital data, generated and optimized. Research methods encompass
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-scale simulation, signal and image processing, time-series analysis, optimization and control, computational inverse problems, and artificial intelligence methodologies. The field of teaching is
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for improving knowledge in design, optimization and decision support for novel and sustainable construction materials. The candidate should also possess demonstrated experience in the area of AI/ML and concrete
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irreversible changes, and not only in environmental systems and land use, but also in terms of market or institutional structures, need to be anticipated and accounted for in optimal policy design. The research