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in collaborative research environments. Interest in mentoring students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an
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tasks will be to: Develop computer vision, image processing and deep learning methods for damage detection of wind turbine blades considering varying conditions such as sunlight, temperature, wind, etc
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group is associated with the ‘Biomedical Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO
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researcher who combines both the ability to develop and configure prototype research systems, with the ability to design and study these prototypes. The project draws on concepts from ethnomethodology
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analyses on metabolomic and multi-omic datasets, contributing to cutting-edge research in inflammatory bowel disease. A key aspect of this role involves analyzing Raman spectroscopy imaging data from
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imaging e.g. confocal microscopy Basic understanding of Bioinformatics would be an advantage The Department of Molecular Medicine (IMM) IMM aims to generate new knowledge on the function of the human body
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students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an advantage, as is knowledge of genetic methods (e.g., SNP-based data
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outputs. Collaborating with geophysical teams to refine RS-based predictions with subsurface imaging data. Participating in international fieldwork campaigns, stakeholder workshops, and project coordination
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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combines omics technologies with bioinformatics, and functional validation of candidates by biochemical, cell biology, and imaging methods (see for instance, Smith, Ferguson et al., EMBO J., 2021; Watson