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Field
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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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simulations to gain insight into these high-end composite materials.The research will be done in close collaboration with the Centre for Textile Science and Engineering and the involved industrial partners
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, Society and Engineering, our students study for, among other things, university and civil engineers, political scientists and economists. With us, the research focuses are industrial economics and
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, manufacturing and recycling) technology and consumption patterns (including Circular Economy), and steel qualities/grades. In the project you will work with many stakeholders in the (green) steel value chain, and
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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, performing data collection and processing of cryo-EM data. Setup of future hardware and software as the research technology is upgraded. Providing lab members support in data collection, image processing, map
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Entry requirements Essential Educated with an undergraduate honours’ degree (or equivalent qualification) in Computer Science/Engineering or in a relevant subject area. Significant experience in graphic
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to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health
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Organizing meetings and workshops to promote awareness and advocacy Your profile Master's degree (or soon-to-obtain) in Psychology, Cognitive Science, or Education A track record of interest in technology