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hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal
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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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groundbreaking research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation
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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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tissues. The platform fosters a strong community that includes the Danish Center for Hadal Research, the Danish Center for Research in Marine Plastic Pollution, the Danish Molecular Biomedical Imaging
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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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research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation, membranes
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, as this is a prerequisite for groundbreaking research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas
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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