32 component-labeling-cuda Postdoctoral positions at Technical University of Denmark in Denmark
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and entanglement generation is preferred but not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a
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modelling Your specific work will involve modelling and validation of the static and dynamic response of complex wind turbine structures (e.g. wind turbine blades). As part of your work, you will be modelling
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element is the role of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master and PhD levels across DTU's study programs
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for load assessment and wind turbine control and ultimately achieve load reduction for wind turbine structures and main components. Your primary responsibilities will include: Develop, implement and validate
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-mechanical analyses, supporting isotope-yield target requirements, and contributing to regulatory interactions and technical dossiers. You will also take part in planning and documenting de-risking tests
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, the Quantum Physics & Information Technology (QPIT) group is looking for a highly talented postdoctoral researcher to advance our efforts in Quantum Microscopy . The position is part of the Copenhagen Center
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Job Description We invite applications for a 3 year postdoctoral position to study ice sheet dynamics using remote sensing data. The postdoctoral position is a part of The Center for Ice-Sheet and
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) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use