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assist in preparation and testing of the platforms at the partner institutions collaborate with an interdisciplinary research team in a focused scientific effort contribute as teaching assistant at DTU
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system designed to safeguard underwater infrastructure. This is a unique opportunity to dive deep into advanced robotics research, gain hands-on experience with real-world testing, and make your mark in a
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i.e. turning towards in-line production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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group at CIE. The aim of the position is to build strong knowledge and competencies within the field of electrochemical storage device design, simulation and testing. Job description You will conduct
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combining physical and ML approaches. Test, validate, and integrate developed solutions in real industrial environments. You must have a two-year master's degree (120 ECTS points) or a similar degree with an
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project constitutes one of the four subprojects and is therefore part of a larger research collaboration while also functioning as an independent unit. You will be working on the research aims to examine
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and electrolysis cells for many years, and we are among the world’s leaders in research and development in this area. We have excellent facilities and competencies for fabrication, modeling, testing
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develop the needed extensions for this project. Implement and test the new methodology of your PhD project Create ground-truth datasets for training, validation and test of the methodology Participate in
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qualifications: Specialised understanding of product development and quality testing Experience with statistics, energy consumption analysis, and Life Cycle Assessment (LCA). An interest in working together