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researchers in the Faculty of Medicine and at Aalborg University Hospital. Applicants should have: A strong technical background in machine learning, computing, data science, biomedical engineering, or a
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learning, computing, data science, biomedical engineering, or a related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Human-Machine Interaction are available for appointment from October 1, 2026, or as soon as
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in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field. The position will require the candidate to work both on the front and back
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
Science (the latter including a BSc in Physics, Nanoscience, Chemistry, Engineering, or Material Science), or similar. Basic knowledge of teaching and learning, student motivation, and didactics, for
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Department of Food Science (FOOD KU), Faculty of Science (SCIENCE) invites applicants for a PhD fellowship in Food Engineering, “Linking Powder Structure to Performance” The project is in
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic
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and specific competences: Essential qualifications A master’s degree (120 ECTS or equivalent), completed by enrolment, in computer science, electrical or computer engineering, robotics, machine learning
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with