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for Optimisation and Machine Learning (QONOMics) project sits at the heart of this expansion. The project focuses on the physics of networks consisting of coupled harmonic and Kerr-nonlinear oscillators. By studying
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is highly preferable Experience in material characterization, computational engineering, programming and computer aided design will be prioritized Work independently and in a structured manner, and
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of the following: computational analysis of human movement and/or vocalization, time series analysis, pattern finding, statistical modelling, audio feature extraction, music information retrieval, machine learning
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. The center investigates emerging forms of digital narrative and how cultural contexts are reshaping their use and function. The PhD fellow will work in the research group Computer Games and Interactive Digital
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of the following: computational analysis of human movement and/or vocalization, time series analysis, pattern finding, statistical modelling, audio feature extraction, music information retrieval, machine learning
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is comfortable engaging with research across disciplinary boundaries and learning new areas of scholarship. Professional development The position offers an opportunity to gain hands-on experience with
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conferences, workshops, and/or research stays. Teach and mentor students, particularly in disability-affirmative methodologies. Contribute to the development of the section Arts, Physical Education and Sports
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we will draw up a career plan that includes the skills and knowledge you will acquire An inclusive working environment with ambitious colleagues The opportunity to take Norwegian language courses
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social mission Careers advice and guidance throughout the entire doctoral programme. Together we will draw up a career plan that includes the skills and knowledge you will acquire An inclusive working
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world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life. Department of Music We conduct research and teach in