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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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, imaging approaches and/or bioinformatics. Postdoctoral Fellow – Banerjee Lab – 00399 Our lab is interested in how the brain accomplishes the ongoing transformation from sensation to action during natural
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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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computer chips. Your role will be to design processes for transforming resources into sustainable materials by modeling reaction pathways from first principles. The project will collaborate with a broad
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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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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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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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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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