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excellent written and spoken English skills and you communicate your results clearly to both technical and non-technical audiences. You take ownership of your research projects, are able to work independently
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methods in practice. This includes the ability to design, implement, and critically reflect on computational approaches such as machine learning models, large language models, and/or advanced data
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of Mandarin Chinese (not a requirement, but it shortens the path into Chinese-language context and data). The right candidate is intellectually curious about how organisations actually integrate new
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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
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. You can communicate clearly in written and spoken English. Knowledge of Danish is an advantage, particularly in relation to teaching, but it is not a requirement. Please note that non-Danish speaking
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-Danish speaking employees are expected to complete a course in basic Danish language qualifications within the first two years of employment. Qualification requirements PhD stipends are allocated
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
out complicated tasks. Good communication skills in English, both written and spoken. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
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well as the ability to embrace a broad range of activities and to collaborate on a daily basis with a team of colleagues at GEUS and contribute positively to teamwork. You must be able to communicate in English, and
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sensor systems for reliable high-speed autonomous operation, such as GNSS/RTK, IMU, radar, lidar, cameras, sonar, motor feedback, propulsion diagnostics and communication systems. The candidate will
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, where you will present your research to the wider research community and build your professional network. Throughout the project you will work closely with your supervisors and colleagues in the research