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experience performing in vivo biodistribution imaging to apply to an exciting project investigating antibody penetration in heterogenous tumor models. The postdoc will work closely with in vivo imaging
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perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join a highly collaborative
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below. Benefits Relocation benefits are available for this job posting. #LI-PL1 #postdoc Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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new cell-based experiments to effectively and efficiently address the needs of the postdoc project Support evaluation of cell-based technologies including image analysis, transcriptomics, and biomarker
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, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering
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imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial collaborators. Your role will be to use and further apply in situ process replicators and correlative
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neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and
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Biology, Systems Biology, Neuroscience, Immunology or a related field. Expertise in tool development including any of the following areas: spatial omics, advanced microscopy, label-free imaging, genetic