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Project Description The PhD stipends will be part of the MADE REACT research project, focusing on the design and operation of resilient manufacturing systems and factories. Global disruptions force
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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will organize several research-related activities, such as workshops and seminars throughout the project period. The work is supposed to empirically test hypotheses rooted in economic theory. The center
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candidate’s research is to analyse work processes and robotic tasks from a manufacturing perspective to optimise production lines. The candidate will gain theoretical knowledge and practical aspects of product
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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stages of the project, as outlined in the ‘overview of the project,’ in collaboration with the two project leads. The prospective candidate is expected to build their PhD work into the project. The subject
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on developing and demonstrating a modular, containerized fuel cell system capable of dual-fuel operation with either hydrogen or methanol. The system aims to provide electrical power to critical infrastructure
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to improve understanding of the degradation processes that dictate the operation lifetime of solid oxide cells (SOC). Transforming our society to rely only on sustainable energy sources is a formidable
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communication skills and ability to work in teams Excellent English skills written and spoken Excellent record of peer-reviewed scientific publications Highly motivated and ambitious candidates are encouraged
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passionate, curious, and driven individual, committed to accelerating the green transition by advancing autonomous solutions for wind power operations. You thrive on solving complex problems, ask bold and