13 application-form-"https:"-"IFM" Postdoctoral positions at Aalborg University in Denmark
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of RF Sensing and Anomaly Detection as per 1st Aug. 2026, or as soon as
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Edge AI Implementation for RF Sensing and Anomaly Detection as per
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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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that shape our vision for a healthier and more sustainable future. We offer bachelor’s and master’s degree programs within biomedical engineering, medicine, medicine with industrial specialization, sports
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education directed towards the end-user. You can read more about the department here: https://www.en.create.aau.dk/about-create . How to apply Your application must include the following: Application, stating
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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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form the foundation of all ourstudy programmes. Additionally, ourengineering programmes areamong the best in Europe. Job description The task is primarilylinked to a cross-disciplinarityprojectcalled DK
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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network of collaborators. Read more about PREDICT: https://www.predictibd.dk/ About the Department of Clinical Medicine: The Department of Clinical Medicine provides research-based teaching across all
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competencies We are looking for applicants with a strong interest in causal research in social science, and with experience working with quasi-experimental or survey-experimental designs. Familiarity with