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Job Description We are looking for a PhD candidate to join the TACsy (Training Alliance for Computational Systems Chemistry) Marie-Skłodowska-Curie Joint Doctoral Network. This network consists
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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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performance of new bio-based technologies to when scaled up and integrated into an industrial setting. Finally, their potential to reach a net zero, i.e. a balance between the amount of greenhouse gas that's
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with chemical ecology in a trophic network approach, thereby contributing to our understanding of the full potential of beneficial microbes in plant production. The PhD fellow will supervised by Nicolai
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, encouraging creativity, diversity, and teamwork. You will have great opportunity to build strong networks with internationally renowned researchers at DTU and other universities as well as industrial partners
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projects is required. Qualifications The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial engineering, computer
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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization