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stereotaxic procedures Prior experience in analyzing experimental data in MATLAB and/or Python. See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600-$194,800
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https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information. About you The candidate will hold a PhD (or be near to completion) in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S
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or seabed mining. The candidate will join the Functioning and Vulnerability of Marine Ecosystems group at ICM-CSIC: https://www.icm.csic.es/en/research-group/functioning-and-vulnerability-marine-ecosystems
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/37947 Job Number SE144024 Position Information Department or Unit Name Career and
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well as time-resolved spectroscopy. Basic programming skills are welcome as the facility is currently implemented with Python. The postdoctoral researcher will work in the Materials and Light Department
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at Carnegie Mellon University More Jobs from This Employer https://main.hercjobs.org/jobs/21786147/instructional-support-staff-x3a-assignment-translator-java-to-python Return to Search Results
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account of the history of geometric mechanics is given in these slides: https://klasmodin.github.io/assets/pdf/modin-geometric-mechanics-lund-2023.pdf More posts related to our research are available here
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, orientadas a la usabilidad y eficiencia - Robótica social - C, Python. y choreographe para el desarrollo de aplicaciones - Bases de datos SQL para almacenamiento y análisis de datos - Control de versiones con
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container platform on Google Cloud. Our technology stack is Python, Django, React, Typescript, GitLab, Terraform, and Google Cloud. We use boilerplate solutions and turnkey templates to scale efficiently