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One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Apply Vacant position One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Aalborg Deadline
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imaging (MSI) is increasingly used to investigate how environmental stressors and micropollutants affect biological systems across space and time. However, data processing, image segmentation, multimodal
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acquisition, equipment construction, machine learning, and image analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your
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microscopy techniques, including image analysis Experience with peripheral tissue handling (ex: spleen, blood, gut) is a plus Experience in flow cytometry and/or transcriptomic techniques are not necessary
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surface dynamics Develop and apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between 3D atomic structure, dynamics and catalytic functions of
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them into one PDF file. Zip files, image files (jpg, png, etc.), and password-protected PDF files will not be accepted. All PDF files must be unlocked to allow binding. Applications received after the
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behavioural testing Postmortem neuroanatomical methods: brain tissue processing and histology Different advanced imaging and microscopy techniques, including image analysis Experience with peripheral tissue
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. The group has established a strong international reputation across multiple areas of science and engineering, and our work is widely cited, reflecting global recognition of our expertise and impact