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on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms that protect the integrity and reliability of deployed AI
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evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in collaboration with a leading architectural firm. The candidate is expected to publish in
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the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 11 in the world within Databases for the period 2021-2025. More information about DESS can be found at: https
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the Marie Skłodowska-Curie Actions (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g
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management strategies that account for environmental loading, soil–structure interaction, material behaviour, prominent degradation and failure mechanisms, and associated uncertainties. Your work tasks The PhD
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the electrical-thermal-mechanical behaviour of different integration and packaging technologies and to assess their impact on system performance and circularity trade-offs, including design optimization. Proof
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Marie-Skłodowska-Curie Action (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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and the state (AC collective agreement) (in Danish) There is a mutual probationary period of 3 months for the position. Where to apply Website https://aau.varbi.com/en/what:job/jobID:916488/type:job
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and the state (AC collective agreement) (in Danish) Where to apply Website https://aau.varbi.com/en/what:job/jobID:895183/type:job/where:39/apply:1 Requirements Additional Information Work Location(s