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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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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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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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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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, prototype and pressure-test new ideas to reduce time between iterations Quick learner, are curious about new areas and the opportunity to build expertise, and courageously boldly and creatively take
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culturing and genetic manipulation of microbiota, immune cells, organoids, imaging and new microscopy techniques is a plus A record of innovative scientific accomplishments as evidenced by one or more first
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, modified Paleolithic diet and usual diet (with Dietary Guidelines for Americans information) diets in the setting of multiple sclerosis, which will include biomarkers and brain imaging at baseline and after
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is