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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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infrastructure, data warehouse, and data pipelines for past, current and future surveys. Our expectations of you We expect you to either hold an academic degree or other relevant education within the field
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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Develop machine learning interface for Daisy to improve support for data-driven process modeling We expect You Hold a master’s degree in computer science, preferably a PhD with postdoc experience
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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computer graphics, or human vision and attention. The posts require research skills in the design of studies, use of methods, research prototyping and data analysis, and you should have documented experience
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Job Description Are you our next Full Professor in the Embedded Systems Engineering section at DTU Compute? You possess expertise in one or more areas within the broad domains of computer