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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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and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application including your motivation for applying for this specific PhD project (approx. 2 pages
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of the PhD programme Recruitment process . If you do not find the information you are looking for, you are welcome to contact the PhD Coordinator, Nete Nørgaard Kristensen, by email at [email protected] , or HR
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the AI:X initiative with two PhD stipends (one of which has already been filled) and is a collaboration between the Department of Electronic Systems, the Technical Faculty of IT & Design and the Department
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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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information, please contact GEUS Senior Researcher Anja Rutishauser, e-mail: [email protected] telephone: +45 9133 3404, GEUS Head of Department Signe B. Andersen, email: [email protected] telephone: +45 9133 3804
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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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or Computer Science; Human-computer Interaction, Spatial Cognition or related areas; Engineering, Applied Mathematics, Statistics or another Quantitatively Oriented Discipline. Application procedure Your complete
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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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