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or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, geophysics and acoustic data modeling. A strong experience with software defined radio Automatic
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(CAD, e.g., SolidWorks, CATIA) and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in additive manufacturing, structural design and related research (e.g., parametric design tools
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sector-coupled energy system will face major challenges with handling the uncertainties from variable renewable energy (VRE) sources like wind and solar power. The power system operators will need
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DTU, Department of Civil and Mechanical Engineering , the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process induced
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performance engineering use cases, extensive software development experience, and knowledge of machine learning frameworks (such as transformers and torch) are pluses. MSc candidates about to complete will also
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engineering challenge. Key to success will be the development of cost competitive and reliable methods to produce hydrogen via electrolysis of water/steam driven by green electricity. Hydrogen can be used as a
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vertical migrations. The aim is to perform research across ocean technology and marine ecology. Responsibilities and qualifications Innovate and develop new platforms, sensors, and software, especially wide
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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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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