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restraint conditions. A key goal is to develop both a sensor system and a prediction model for the short- and long-term deformation behaviour of concrete. These tools will be applied to full-scale structural
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environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food production and veterinary
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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within the League Secretariat. (2) To examine the often-contested formation of hierarchies within the League Secretariat via state-of-the-art digital approaches. (3) To investigate how processes
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– set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills in English. You must have a two-year master's
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control theory, state estimation, and motion planning. You have documented experience through courses, projects or former professional work to develop and test solutions for real robotic systems You are
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real problem. You will participate in the integration and field testing of robotic platforms, together with our other high-profile partners from the Robotic Intercropping project. At DTU, you will be
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testing dynamic equivalencing methods for power system dynamic simulations and integrating these into commercial simulation tools. Dynamic equivalents are simplified representations of complex power system
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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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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