119 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" positions at City of Hope
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evaluates data and suggests alternative approaches for improvement. · Trains lab staff in specialized procedures, equipment, and theoretical concepts. · Ensures compliance with safety procedures
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, shaping the future of medicine through cutting-edge research. A Clinical Research Assistant II role is available under Dr. Richard Lee to support the Cherng Family Center. You will manage a set of multiple
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through cutting-edge research. Join City of Hope as an Administrative Program Coordinator and play a pivotal role in driving the success of a dynamic department. This position performs a variety of
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through cutting-edge research. The Microbiome Program is seeking a highly motivated Research Associate I to support our expanding clinical research efforts. This role is essential to maintaining efficient
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is readily available in the laboratory of Dr. Wendong Huang in Arthur Riggs Diabetes and Metabolism Research
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through cutting-edge research. The laboratory of Dr. Yanzhong Yang in the Department of Cancer Genetics and Epigenetics at the Beckman Research Institute of City of Hope Cancer Center is looking for a
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, shaping the future of medicine through cutting-edge research. Led by Dr. Ajay Goel, Professor and Founding Chair of the Department of Molecular Diagnostics and Experimental Therapeutics, our
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship opportunity is immediately available for the highly motivated individual in the laboratory of Dr. Alberto Pugliese, MD
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laboratory activities are carried out in compliance with safety procedures and guidelines in handling, storage and disposal of materials. Your qualifications should include: Bachelor’s degree in biological
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Hope National Medical center under Dr. Supriyo Bhattacharya. Our mission is to advance the next generation of in-silico algorithms for understanding diabetes and related disease mechanisms and