66 postdoctoral-position-in-molecular-dynamic-simulation PhD positions at Technical University of Denmark
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Job Description The Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU) invites an excellent candidate to join our team for this full-time position
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Job Description We are looking for a highly motivated and experienced researcher to join our dynamic team as Senior Researcher at PROSYS. The ideal candidate has a strong theoretical and practical
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DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position
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company, where you’ll take wind farm design and simulation tools to the next level. By fusing cutting-edge physics-based modeling with rapid, data-driven engineering, you’ll develop innovative solutions
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constructing microbial associations (consortia) based on genetic information of the involved microorganisms to be used for efficient mixed culture fermentations. The position is for an MSc student with
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Job Description The Electromagnetic System Division at DTU Space invites candidates for a PhD position with the aim to develop InP DHBT based sub-THz front-end integrated circuits with performance
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applications. This position, funded by the Innovation Found Denmark, offers an excellent opportunity to build expertise and drive innovation in the development of advanced PRO process. PRO is an advanced and
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already set new standards for aerial robotic inspection in confined, visually degraded, and GNSS-denied environments. The AUTOASSESS project develops fully autonomous solutions for challenging tasks such as
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theory around the pace-of-life of marine fish and simulate fast and slow life history strategies within fish populations and fish community food webs. This research aims to examine how these strategies
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Job Description We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification