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Field
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contact the NRC Hiring team using the contact information below. The role We are looking for a Research Officer (RO) with experience in a variety of accelerated process optimization aspects to be
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-centric AI and explainable decision-making? Are you intrigued by the role of human expertise in complex optimization? This PhD position focuses on bringing humans into the loop of optimization processes
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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fellowship at AAU Energy, you will work with dynamic modeling, simulation and optimization of Power-to-X processes for renewable fuel production, such as green methanol and sustainable aviation fuel produced
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degree in chemical engineering or similar field (essential). Strong background in chemical process modelling and design (essential). Prior experience with process optimization (desirable). Prior experience
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use through efficient heat exchange, waste heat recovery, and optimized process conditions. Assess and reduce environmental impacts, such as greenhouse gas emissions. Validate models with literature and
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, flexibility, and operational efficiency of existing battery recycling processes. Specifically, it aims to improve and optimize cost and recovery efficiency of existing scaled recycling technologies and develop
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on established expertise in nanoparticle synthesis and surface chemistry, this project will optimize nanomaterial design for circulation, targeting, and therapeutic performance in neuroblastoma organoids, enabling
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optimization of semantic communication in 6G multi-robot teleoperation scenarios. The candidate will investigate innovative approaches leveraging semantic communications, artificial intelligence, and emerging 6G
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optimization) — from short-term power, thermal, and flow management to longer-term production scheduling and energy-system operation — connecting fast system dynamics with slower operational decisions. Develop