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Field
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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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the Linux file system;Extend BPF capabilities if required - Designing and implement benchmarks to evaluate the prototype - Writing a scientific paper to present the results. Where to apply E-mail job-ref
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
computing skills are required, obtained in a Unix/Linux environment, and ideally including Fortran/C++ coding, as well as analysis tools such as Python, IDL Point of Contact Mikeala Eligibility Requirements
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Neural Networks, 3) problem solving skills, 4) familiarity with GNU/Linux environment. The project will consist in developing un-orthodox Neural Network models with Pytorch. At least the B2 level of
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, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote computing clusters - Experience with genome-wide statistical genetics approaches (e.g., GWAS, genetic correlations, PGS
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simulations on High Performance Computing, the ability to analyze and organize large datasets or model outputs, knowledge of Unix/Linux, and experience with commonly used software and protocols in
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interpreting omic-seq data sets, with Unix/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command
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Csoftware design under Linux and experience with software integration and testing frameworks, e.g. Travis Strong publication record The ability to properly report, organize and publish research data Good
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Machine/Deep learning and classification Knowledge of the Linux operating system for using a computing cluster Interest in transdisciplinarity and teamwork Autonomy and scientific rigor Website