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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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teaching plays a considerable part in our identity, and we run three educational programmes. In our approach to working with society, industry, and policymakers, we are a team-oriented, knowledge-sharing
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, power electronics, or a related field. Basic knowledge of power converter topologies. Basic knowledge of digital control of power converters Experience or coursework in device simulation tools (e.g
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knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and scientific advice of the highest quality within building design and processes, building
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the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish). Aalborg University - Knowledge for the world Aalborg University is
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– exploring the power of methanogens Research area and project description: You will be part of the Novo Nordisk Foundation CO2 Center (CORC) with aim of developing knowledge and technology within the field
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. The trained Doctoral Candidates will be able to convert knowledge and ideas into new products, and services for economic and social benefit. DTU is a leading technical university globally recognized