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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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including artificial intelligence and machine learning in our constantly changing and developing data environment. As our group provides data for many different end-users and projects the work can be very
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-generation energy conversion and storage devices. We have a unique opening to expand our efforts in developing our self-driving laboratory (SDL) that combines robotics-based lab automation, machine learning
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locations. This leads to a high variability and uncertainty in measurement results, especially when comparing different procedures, locations, parts, and designs. In this project you will learn and apply
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: Knowledge with data science/analytics and machine learning methods Familiarity with electrical grid operation and requirements Proficiency in the English language Good ability to present results in oral