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integration) Energy system optimization and planning under technical and operational constraints Scenario analysis and simulation of future energy systems, including CO2 reduction strategies Data analysis and
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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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Systems Analysis and Synthesis https://www.cs.aau.dk/research/research-groups/quantum-systems-analysis-and-synthesis-qsas The Department of Computer Science features a broad range of synergistic activities
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/simulations). The role involves e.g. signal detection in noisy & interfering environments; signal filtering; signal compression; processing of measured data from mmWave RF signals; radar returns; quantum
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machine learning methods for detecting, classifying, and identifying wireless anomalies in real-world radio environments. You will design and experiment with AI-driven approaches for spectrum analysis, work
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; measurement system characterization, e.g., validating platform performance such as dynamic range, linearity, phase noise and measurement uncertainty; automated test & data acquisition, e.g., using Python/MATLAB
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++), skills in data analysis, and scientific writing is essential. While all roles require a strong foundation in AI, each has specific technical requirements: The NAMUR position at Aalborg University requires
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, Copenhagen, a position as Postdoc in CCUS and Energy System Analysis is open for appointment from 01 April 2026
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Postdoc position in modeling and analysis of cyber-physical systems At the Technical Faculty of IT and Design, Department of Computer Science, a full-time postdoc position in modeling and analysis
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throughout the research process, including conceptualization and theorizing, data construction and analysis, and preparation of academic articles for international journals. You will collaborate closely with