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supports the astrophysical data analysis of current and future gravitational-wave detectors. The LIGO Laboratory anticipates having one or possibly more data analysis postdoctoral research positions
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holography and electronic systems for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should
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for candidates interested in the intersection of complex oxide epitaxy, quantum information, and nanophotonic to contribute to high-impact science at a national user facility. Key Responsibilities Develop and
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://sites.wustl.edu/ushikilab/ . Â Â Trains under
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 12 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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of the departmental faculty, as well as a specified potential collaboration with the climate sciences, brain science, and/or computer science. For more information on co-advisors' research areas, refer to: https
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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signaling, and transcriptomic analyses of host-pathogen interaction. Candidates should submit their application to Dr. Carabeo through this posting https://unmc.peopleadmin.com/postings/97011 . Applications
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candidate will be expected to develop their own active research portfolio, especially as it provides complementary synergies with other EAP activities and themes. More information on the EAP is available
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Appointment Term: 1-2 years depending on performance and availability of funding Appointment Start Date: Summer/ as soon as possible Group or Departmental Website: https://sparklab.stanford.edu/ (link is