52 component-labeling-cuda Postdoctoral positions at Technical University of Denmark in Denmark
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and public authorities. Our research aims at strengthening welfare, productivity and sustainability within society. A key element is the role of technology and its interaction with industry and
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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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of digital chemical production? Then join DTU Chemical Engineering’s digitalization initiative and be part of building the next generation of smart, semantically linked research infrastructure. The job Over
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, there will also be research tasks within precise (relative) positioning methods employing techniques such as SSR, FKP, and VRS. In addition to the above research, you will also take part in teaching, public
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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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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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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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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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sponsored project called BIO-MAG, we aim to create magnetic sensors with subpicotesla sensitivity and use these sensors to map neuron activity at room-temperature. As part of this large project, we
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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