2,796 data "https:" "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions in United States
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position is available in Dr. Gustavo Silva’s laboratory at Duke University (https://sites.duke.edu/silvalab ). The prospective candidate will develop research focused on developing and using functional
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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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. Preparation and analysis of research data for oral presentations, grant applications, and publication in peer-reviewed professional journals. Application and implementation of bioinformatics and computational
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. Experience with quantitative methods and data analysis. Applications and Inquiries Applications can be submitted online via https://apply.interfolio.com/184157 . Application materials should include a
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methods and data analysis. Applications and Inquiries Applications can be submitted online via https://apply.interfolio.com/184154 . Application materials should include a curriculum vitae; a letter of
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whose work addresses the historical, social, and cultural significance, impact, and/or trajectory of the "information age," cybernetics, computing, digital technology, artificial intelligence, and/or
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duties of this position are the following: Conducts research processes and procedures in the laboratory. Assists in the acquisition and analysis of data. Supports the Principal Investigator's plans
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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/ . Trains under the supervision of a faculty mentor including (but not limited
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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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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 17 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