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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https
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, TensorFlow) and the processing of 3D or geodata In-depth knowledge of at least one programming language (e.g., Python, C++) Very good German and good English skills Independent, solution-oriented, and
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experiments to understand and improve tool performance, and – most importantly – by summarizing findings in white papers and application notes. A full job description can be found here: https://mitnano.mit.edu
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skills with considerable experience with programming with python. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience
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preparation of materials. Job Description Empty heading Primary Duties & Responsibilities: For more information about the lab, please visit: https://sites.wustl.edu/tanglab/research/ . Assists with research
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is required. If necessary, the applicant selected for the position will be trained in indoor localization. ? Proficiency in programming languages such as C/C++, Python, and MATLAB is required, along
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Proficiency in Python, R, and deep learning frameworks (e.g. PyTorch, TensorFlow) Strong written and verbal communication skills Ability to work independently and within a team environment Preferred
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such as SQL, SAS, Python, and R. Additionally, the role involves collaborating with a team of scientific informatics staff to design and implement integrated application software and databases. The Research
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records at the TRUST platform (https://trustplatform.sg/) . We are inviting a motivated Research Fellow to join our PRECISE-SG100K collaboration to work on the dataset (https://www.npm.sg/phase-ii-precise
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Number AE2025-0514 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0514.pdf CALL FOR GRANT