21 data-"https:"-"https:"-"https:"-"https:"-"LGEF" research jobs at Aalborg University
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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workplace here You can read more on Department of Sustainability and Planning here You may obtain further professional information from Associate Professor Troels Krarup, e-mail troelsmk@plan.aau.dk or phone
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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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, but also in other study programmes at the University. You may obtain further professional information from Associate Professor Iva Ridjan Skov, +45 9940 2950, iva@plan.aau.dk You can read more on TECH
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data storage in Iceland. Drawing on science and technology studies and, specifically, infrastructure studies (Edwards et al 2009; Star 1999), the project aims to follow moments of instability and re
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Department of Sustainability and Planning here You may obtain further professional information from Andrés Felipe Valderrama Pineda, afvp@plan.aau.dk. Qualification requirements Appointment as a research
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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information from Associate Professor Carsten Jahn Hansen, 9940 8286 jahn@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on Department of Sustainability and Planning here Qualification
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experiments, integrating experimental data collected during loaded magnetic resonance imaging scans of the human knee joint with the ex vivo findings. By working with in vivo models, you will contribute