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new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
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, including gene expression analyses, lineage tracing, live imaging, and CRISPR-mediated gene manipulation to probe molecular and cellular mechanisms driving the development of molluscan brains and body plans
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of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview | LinkedIn The doctoral candidate at Tampere University will develop tools and methods to assess the effects of the non-invasive
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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balance, and outgassing testing, essential for qualifying hardware for launch and orbital operation. The Space Lab also offers access to a wide suite of engineering and simulation software for electronics
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 1 month ago
: Specific skills include mouse injection, tissue isolation and processing, tumor implantation, T cell characterization, cell transfection, flow cytometry, ELISA, cellular and in vivo imaging Development
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of glioblastoma will be extended to animal experiments, in which, for example, surgical operations and imaging will be applied. The main responsibilities of the researcher will include laboratory work, data
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processes that arise in light–matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work
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lineage cells and CNS health in aging and repair, using advanced in vivo and in vitro models combined with cutting-edge molecular, imaging, and transcriptomic approaches. About the Role The doctoral