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Mathematics, Biophysics, Mechanical Engineering, Materials Science or related disciplines · A strong foundation in continuum mechanics and transport phenomena · Experience with numerical methods and finite
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the application of materials, there are distinct worlds plastic and metal. Metal is strong, conductive and wear resistant. On the other hand is plastic is able to create complex shapes. The combination is
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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) research group at the Engineering and Technology institute Groningen (ENTEG), Faculty of Science and Engineering. In the application of materials, there are distinct worlds plastic and metal. Metal is strong
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neuroscience and evolutionary biology. The University of Groningen provides exceptional infrastructure, including access to the Hábrók high-performance computing cluster for large-scale data analysis, large
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, you design various components of the research. You conduct research that results in a dissertation and aligns with the objectives and requirements of the project. You perform quantitative data analysis
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analytical skills, with experience in qualitative and/or quantitative methods and familiarity with common data-analysis tools. You can work independently and as part of a multidisciplinary team, show
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Technology Institute Groningen (ENTEG). The project aims to address timely challenges in the analysis, design, and operation of complex socio-technical systems, such as energy and transportation networks. What