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, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning. Ability to develop, understand, and critically evaluate
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constituents of everyday life in Latin America. It interrogates the knowability and unknowability of underground realms by examining how histories of power and forms of violence are embedded in Earth's
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of the fatigue behavior of composite materials and/or polymers, and is able to develop and implement constitutive models in FE software. Development of a Structural Health Monitoring system The ability to estimate
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. The main goal of this approach is that the ferromagnetic configuration can be altered by an electric field rather than a magnetic field, which requires much less electric power and which is much more adapted
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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. Ability to work independently and in a structured manner, while also demonstrating strong collaboration skills. Proficiency in both written and spoken English. Good command of Norwegian (or another
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diploma or equivalent Minimum 1 year of relevant experience Skill in completing assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while
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ECTS credits are at an advanced level). Experience working with AI models for image analysis Experience working with sequencing-based analysis of DNA Documented ability to work independently in close
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, Materials Science, or a related discipline. The successful applicant will demonstrate strong interest and self-motivation in the subject and the ability to think analytically and creatively. Good computer
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products and services supporting power system operation, including frequency regulation, reserve restoration, congestion management, peak shaving, and load profile smoothing • The proposed methodologies will