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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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of Power-to-X processes for renewable fuel production. The project is primarily rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will
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brings the difficulty to the pyrometallurgical processes and negatively influences the recovery rates of critical raw metals. This project aims to address these issues and enhance the adaptability
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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in the interplay between wireless systems and Artificial Intelligence. Experience with one or more of machine learning, wireless communications, signal processing, multimodal sensing, robotic
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period of two years. At that point, the terms of employment and payment will be according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations
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datasets, the project seeks to bridge the gap between disease-associated genetic variants and the biological processes they influence. The successful candidate will leverage unique resources available
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is critical for projecting future sea-level rise and the ice sheet's capacity to store meltwater. You will analyze airborne radar data collected since the early 1990s, focusing on how the radar signal
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. The candidate should demonstrate strong written and oral communication skills in English. Read more here : Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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solutions that combine low energy consumption with reliable and safe operation in compliance with relevant standards and regulatory requirements. A key scientific challenge addressed in this project is the