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modern cybersecurity requirements. Across both projects, the goal is to combine advanced power-electronic control with edge computation and ML so converters and drives can continuously learn from operation
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs
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collaboration with industrial and academic partners; access to advanced RF laboratory and high-performance computing facilities; and active contributions to publications, grant applications, and broader project
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communication, microwave engineering, and applied AI. Our research combines strong theoretical expertise with unique experimental facilities, including advanced RF laboratories and high-performance computing
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business School
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
more than 20 countries. We perform basic and applied research within plants, livestock and human quantitative genetics. Our focus areas include quantitative genetics, breeding plans, artificial intelligence
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing