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technical equipment, including confocal microscopes, data storage servers, computational workstations, and high-content imagers. They will also support the day-to-day operations of the laboratory, which
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conditions; lead the surgical design for the neuroprosthesis implants, as well as the closed-loop controller, and data collection experiments with the patients; assist with the design and investigation
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recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and
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maintenance of the FAIR Knowledge Base, ensuring all experimental and simulation data is searchable and reusable. Professional-grade Python skills with a focus on maintenance. You will be responsible
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Physiology & Cell
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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experiments. Develops research techniques and perform applications required for specific research projects. Conducts literature searches and summarize information in an appropriate format for a particular study
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recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Lead laboratory
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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The primary focus
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project management; adapt existing and develop new scientific techniques and experimental protocols; test hypotheses and analyse scientific data from a variety of sources; contribute ideas for new research