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Faculty of Natural Sciences, and Aarhus University Hospital. The overall project will leverage an existing clinical cohort, as well as develop the framework for a new cohort of patients with multiorgan
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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, or landscape modelling Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and preferably experience in developing
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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection
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, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration. Your work will be
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. Technology for people DTU develops technology for people. With our international elite
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital