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7 Apr 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering (DTU Construct) Research Field Engineering Computer science Researcher
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experience are prerequisites. Experiences with archival fieldwork and/or public dissemination (e.g. podcast) is an advantage. Applicants, who wish further information about the position and the research
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. Project Description Dynamic assessment of bone and joint motion remains a major challenge in musculoskeletal imaging. While MRI and CT provide high-resolution anatomical information, they are limited in
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: Strong competences within solid state physics, materials science, solid state chemistry or similar. Experience with experimental setups and laboratory work. Experience with data analysis performed using
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of an effective tar removal strategy. The work will cover a comprehensive feedstock study, including characterization of pure plastic fractions, mixed plastics, and contaminated real waste streams representative
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or entangled photon pairs. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of
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attention. We ask what can be done with experimental lab data in cases with variations of anisotropy. In addition to research tasks, you will take courses for 30 ECTS and both general and specific topics, and
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programme over 3 years). If selected for the position, you will be enrolled in the PhD programme in Political Science. Application An application must include: Application form A motivated application / cover
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characterization, dual-comb applications, numerical simulations, and data analysis. You will play a leading role in disseminating research results and actively participate in collaborative projects. You will also
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and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science