77 phd-software-testing-scholarship Postdoctoral positions at Technical University of Denmark
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Continuum mechanics Large deformation elasticity Design of mechanical devices Programming skills As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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, documented through a PhD dissertation and/or research publications experience in independently managing research projects excellent communication and interpersonal skills, with the ability to engage
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and
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at DTU Compute. The position is part of the large EU project Shift2SDV, which brings together 81 partners to shape the future of Software Defined Vehicles (SDVs). DTU’s role is focused, and the postdoc
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backgrounds in: Civil, Architectural, and Environmental Engineering, Computer and Software Engineering, Computer Science, or a related discipline such as Mechanical Engineering. Candidates must have completed a
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hearing from researchers with oceanographic, as well as meteorological, science background. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale
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qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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the nanoparticles will dissolve and release their nutrients. Field tests under controlled conditions will be conducted in collaboration with the other partners involved in the project. At DTU Energy, you will have
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. The focus areas are Find the best solutions to forecast hybrid power plant generation from minute-level to day-ahead, including implementation, test and validation at the DTU Risø HPP facility Understand and
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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS