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The Department of the Built Environment (BUILD) at The Technical Faculty of Engineering and Science invites applications for a position as postdoc in the field of data-driven
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training efficiency and robustness to noisy measurement data, and package the best models for industry use. You will also contribute to a joint catalogue of energy-aware SQL optimizations together
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The project may address national or international problems, and should do so using appropriate methods, qualitative and/or quantitative. Access to Danish data sources, such as registry data, respondents
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patent filings. The work will be centred around topics such as machine learning for communications, communication theory, signal processing for communications, coding theory, and information theory. Your
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Denmark (SDU). These full-time positions offer a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and
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evaluating student learning in STEM environments. The ideal candidate would demonstrate competence with a mix of methodologies, including primary data capture (eg interviews and surveys) as
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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mechanistic information on human brain changes in pain conditions. Your research will help us understand the mechanisms involved when pain becomes chronic. Work in a team using electroencephalography (EEG
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? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment