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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU...
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curious to deliver work that matters, your journey starts here! The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University is renowned for its interdisciplinary approach
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the team! In this role, you will support biology research projects involving molecular biology, cell biology, genomics, transcriptomics, and computational biology. This position will contribute to both
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the team! In this role, you will support biology research projects involving molecular biology, cell biology, genomics, transcriptomics, and computational biology. This position will contribute to both
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formation assay. 3-Required experiments and techniques are in the areas of Molecular Biology, Genetics, Genomics and Biochemistry. 4-Data analysis. 5-Supervise other researchers in the lab. 6-Assist in
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curious to deliver work that matters, your journey starts here! The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University is renowned for its interdisciplinary approach
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seeking a motivated Research Associate to support two active molecular biology projects: (1) engineering and screening fluorescent proteins with improved photostability for advanced imaging applications
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for someone who shares our values and who will support the mission of the university through their work. Qualifications: M.S. degree in Biology, Biomedical Engineering, Mechanical Engineering, Bioengineering
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. Qualifications: Bachelor’s degree in psychology, biology, neuroscience, public health, or a related field. 1-3 years of research and/or data collection experience required A combination of education and relevant
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mission of the university through their work. Qualifications: Bachelor’s Degree required. Master’s Degree in computational biology or related field preferred. 1-3 years of demonstrated experience working in