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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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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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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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. At the Department of Health Science and Technology, we conduct research, teaching, and innovation within medicine, biomedicine, biomedical engineering, health technologies, robotics, neuroscience, sports science
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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus
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. The group currently consists of 14 scientists, MD/scientists and students, one clinical research coordinator, 1 research nurse and 2 biomedical laboratory scientists. The project: Deciphering the Mechanistic