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should have the following qualifications: Experience in software development, programming with Python, C++, etc. Good/strong knowledge of robot operating systems, robotic control and virtual
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. Strong skills in geospatial analysis. Strong skills in image analysis and machine learning. Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar
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GNSS, geodesy and surveying. Public sector consultancy and participation in activities related to our work programmed with KDS. The GEO division also contributes actively to the centres Arctic DTU and
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possess: A solid background in formal methods and process mining Experience in developing theoretical modeling and analysis frameworks Strong programming and software development skills (at least at the
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characterization of soft scaffolds with programmed morphological characteristics and tailored mechanical properties. The research will be supervised by Associate Professor Stavros Gaitanaros. As part of the project
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-ray diffraction, and X-ray photoelectron spectroscopy would also helpful for this position. Basic programming skills (in Python) is another skill desired for this position. We offer DTU is a leading
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initiatives, and Your view for your future research, teaching, and funding plan. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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Programming competencies in MATLAB or Python Experience in using practical coastal engineering models such as MIKE, Delft3D, XBeach and SWASH As a formal qualification, you must hold a PhD degree (or equivalent
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software skills Proven experience with CFD automation, e.g. using PyFluent or similar Python APIs for meshing, solver control, post-processing and data management. Solid experience programming in Python