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for radiopharmaceutical and particle therapy research with GMP-grade therapeutic product development facilities. Extensive shared resources for genomics, proteomics, metabolomics, imaging, and computational biology. A rich
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Description Job Responsibilities: -Conducts research activities on insect midgut biology in arthropod systems in contained laboratory environment. -Design and perform proteomic, transcriptomic, imaging and
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Research AI Development (BRAID) department of Genentech's Computational Sciences Center of Excellence (CS-CoE) organization. This role offers a unique opportunity to contribute to cutting-edge research
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maintain a biorepository of human specimens, and perform various molecular biology tasks such as DNA/RNA isolation, conventional/quantitative/digital PCR, and bacterial cloning as part of the larger overall
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maintain a biorepository of human specimens, and perform various molecular biology tasks such as DNA/RNA isolation, conventional/quantitative/digital PCR, and bacterial cloning as part of the larger overall
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, Biophysics, Molecular Biology, Genetics, Computational Biology, Bioengineering, Systems Biology or related field Strong expertise in protein biochemistry and in vitro characterization methods Experience with
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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, including statistical evaluations, and image processing. Present and actively participate in the lab’s weekly meeting. Write reports, journal articles, and grant proposals Train undergraduate and graduate
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, surface science, soft matter physics, and experimental characterization, including imaging with microscopy. The incumbent will conduct research and/or analyze research data and ensure that all experiments
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets