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Job Description Do you hold a PhD in macro-energy system modelling? Do you want to investigate how small clusters with advanced technologies (renewables, carbon capture, power-to-X) can spearhead
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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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presupposesscientificqualifications at PhD–level or similarscientificqualifications. The research potential of eachapplicantwillbeemphasized in the overall assessment. Appointment as a Postdoc cannotexceed a period of fouryears in
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, Aalborg University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40
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the behaviour of recycled materials in forming processes, addressing technical challenges and proposing innovative solutions. Conduct tests at DTU Construct to document and demonstrate the optimal use of recycled
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for collaboration across sections, departments and faculties, and with other educational institutions, municipalities, and industries. The degrees offered by the department include BSc, MSc, and PhD degrees in
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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD
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experimentally very difficult using macroscopic bulk investigations such as bottle tests. Therefore, we have used microfluidics to speed up this step. We now want to move further with this by also understanding
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scientists. Publish research findings in high-impact academic journals and present at international conferences. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD students. Your
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technical challenges and proposing innovative solutions. Conduct tests at DTU Construct to document and demonstrate the optimal use of recycled metal in production. Contribute to integrating our findings