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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following documents in PDF format: Motivated letter of application (max. one page) CV
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18 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Electronic Systems, Connectivity, Aalborg Research Field
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20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Section for Power Electronics System Integration and
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Copenhagen Business School must receive all application material, including all appendices by the application deadline. Application must be sent via the electronic recruitment system, using the link below
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electronic transport directly with structural and nanoscale characterization, including TEM, AFM and nanoARPES. The project combines hands-on device fabrication with advanced measurements and close
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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, email: [email protected] You can read more about the Department of Chemical and Biochemical Engineering at www.kt.dtu.dk . If you are applying from abroad, you may find useful information on working in
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3 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Electronic Systems, Communication, Media and Information