119 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at Technical University of Denmark
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Job Description A 9 month postdoc position is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology from December 1, 2025 sponsored by the European Research
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technology. DTU Space is involved in the full life cycle of space activities, including concept and design, construction and prototyping, calibration and validation, implementation and operations, data
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collaboration with world class experts? You will play a key role in a collaboration between Professor Alex Tofgaard Nielsen at DTU Biosustain and the Microbial Expression Engineering Department at Novo Nordisk
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characterized by collegial respect and academic freedom tempered by responsibility. The PhD will be based at DTU Aqua and co-supervised by scientists at Chalmers University of Technology (Gothenburg, Sweden) and
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to wind and energy systems transition. Internationally recognized for pioneering wind technology and smart energy systems, the department is structured into four divisions: Materials and Components, Wind
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on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from
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for experiments, samples for analysis. Record keeping: Process and report basic monitoring data. Conduct sampling, manage and structure data in relation to traceability. Participate in planning, execution and
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well organized, structured, self-driven, and enjoy interacting and collaborating with colleagues, including PhD students and postdocs. You are also expected to take part in the supervision of BSc and MSc
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are business-critical, as they are a prerequisite for the center’s continued funding and existence. You will have a close collaboration with your Team Lead, who defines the overall structure of the reports
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-linear hydraulic behaviours, which pose significant computational challenges for large-scale planning and operational optimization. By leveraging the inherent network structure, the project aims to develop