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Job Description Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have
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electricity prices with focus on Nordic electricity market including implementation, test and validation at the DTU Risø HPP facility (possibly in a GPU computing infrastructure) Aid the implementation of IEA
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expectations of you We are looking for part-time programmers with experience in handling volumetric data, programming in Python, and navigation on a High Performance Computing cluster. Perhaps you are a data
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that the candidate will learn to perform rigorous and relevant research using a combination of quantitative and qualitative research methods and extend collaborations with key academic and industrial partners at both
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. The position is part of a project funded by the Energy Technology Development & Demonstration Programme (EUDP). The project is led by Associate Professor Jonas Sundberg and is an interdisciplinary collaboration
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required for and increase the value of physical testing of wind turbine structural components using high-performance virtual testing and cutting-edge digital technologies. The section is part of the division
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protocols Use analytical skills for the characterizations of membranes and saline solutions, such as Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), High-performance liquid
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understanding of the performance of composite materials. Experimental work in the DTU Wind and Energy Systems MaterialsLab is coupled with research and development on the special characteristics of composites
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physical and nanofabrication constraints into account. The tasks may vary from implementing new components to work on the general framework for computer-generated chip design within nanophotonics