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Field
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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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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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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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(Fortran, Python, etc.) with Linux ; - good knowledge of land surface models like ISBA and interest in learning to use permaFOAM - interest for physical and biogeochemical processes in permafrost soils
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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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Bioinformatics, Computational Biology or similar. Experience in Genomics and Cancer Fluent in R, Phyton and Bash (GNU/Linux) scripting. Other programming languages will also be valued. Advanced understanding
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. - Knowledge of programming techniques (C/C++, Python, Bash) in a Linux environment. - Knowledge of a version control tool (gitlab). - Knowledge of software architectures. - English (level C1). Skills: - Conduct
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of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English. What we
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theory (Density Functional Theory, Wave Function Theory) is expected. - Solid experience with the Python programming language and Unix/Linux environment - Good command of scientific English, both written