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Field
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UiO:Life Science. GENESIS brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo development
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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to publications and presentations in leading statistics or machine learning journals and conferences are essential. Experience with brain imaging data, large-scale population datasets, longitudinal biomedical
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vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial intelligence
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in animal studies (rodent handling), brain tissue processing, histology, confocal imaging preferred Knowledge, Skills and Attitudes: • Strong background in Cell or EV biology, neuroinflammation
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microscopy, and technical writing. Hands-on experience with imaging flow cytometry, brain tissue homogenization, homogenate analysis protocols, and cell separation and lysing methods are a plus. Job Duties
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, immunohistochemistry, and fluorescence imaging. Coordinate and execute behavioral studies to assess cognitive and motor deficits, including Morris Water Maze (MWM), Novel Object Recognition (NOR), and Fear Conditioning
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candidate will join an exciting research program exploring a newly emerging paradigm in immunology: mitochondrial transfer and synthetic organelle therapy. Using newly developed genetically engineered mouse
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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organization, and how these properties are altered by pathological processes across multiple biological scales. The position is available in the team of Dr. Andra C. Dumitru in the nBIO group at LIBST, UCLouvain