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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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the Department of Electrical and Computer Engineering, please visit https://ece.au.dk/ . Visit our LinkedIn: https://www.linkedin.com/company/au-ece/ Research areas in the department Electrical and
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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
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with troubleshooting their machines and support their understanding of core concepts. Guide students in working on their own project. Demonstrate best practices and foster the development
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identification, and who have significant experience in applying Machine Learning (ML) and Artificial Intelligence (AI) to these areas. Applicants with theoretical, numerical, experimental, or combined research
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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. The page may be updated with new areas until the deadline for application. Beyond the research conducted during the PhD project, a successful candidate is expected to teach three to four hours weekly during
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helium droplet machines. Also, you will be jointly responsible for making sure that various experimental apparatus in the laboratories are maintained and serviced with timely care. In particular
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Medicine your primary tasks will be research and research-based teaching. You will teach and supervise students at Bachelor’s and Master’s level, and you will contribute to the development of the department