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the advance of image technology, AI and hydroacoustics we are now in a position to target this problem from a different angle. We here advertise one 3-year postdoc position. The aim is to develop and apply
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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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flagellates and early eukaryotic evolution. The position is part of a cross-disciplinary project funded by the Human Frontiers Science Program that combines live imaging of swimming and foraging flagellates
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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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supportive research environment, bridging basic and clinical research. Modern laboratories with easy access to state-of-the-art equipment and methodologies for sequencing, cell analyses, and imaging
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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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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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approaches, balancing the need for high-resolution imaging of shallow infiltration zones with the ability to map deeper flow paths and connections to underlying aquifers. The work will include numerical