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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
at this time, unless 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
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, techniques for the detection of misinformation including AI methods and their application, user interface, and feedback systems, various programming languages (Java, C, C++, C#, Python, JavaScript
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and German (spoken and written) Good programming skills, preferably in Python Strong ability to work in teams Perseverance and ability to get things done A high motivation and commitment to excel in
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38538 Job Number SE161524 Position Information Department or Unit Name Physics Position
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projet ANR 4DPlants (https://4dplants.icube.unistra.fr/ ), financé par le ministère français de l'Enseignement supérieur et de la Recherche, et mené en partenariat par ICube/Université de Strasbourg, RDP
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projects, Pytorch familiarity preferred Current enrolled in a graduate or PhD program preferred Other Requirements Intermediate coding experience in Python Equal Opportunity Employer / Disability / Veteran
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC (https://www.ipac.caltech.edu/ ), part of the Physics
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); • Intermediate/advanced knowledge of R and Python for genomic analysis; • Fluency in English for oral and written academic communication. Scholarship: R$ 12,570.00 per month + 10% Technical Reserve (according
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of the following disciplines: Civil Engineering; Geodesy and Transport; Computer Science; or Technical Informatics and Telecommunications. Very good knowledge of modern programming languages (primarily C# and Python
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Intensive in Microbial Bioinformatics, providing instruction and mentorship in R, Python, and command-line tools for microbiome and metagenomic analysis. Collaborate with faculty, staff, and industry partners