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of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems
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disciplines; or a Master's degree with at least 1 year's post-qualification experience Research experience in the field of computational biology and bioinformatics through advanced programming (Linux Shell
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Additional Information Eligibility criteria Technical skills: proficiency at ecological modelling, use of the Unix/Linux environment, proficiency at oceanographic data repositories and GIS tools, good
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake
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, critically-thinking, self-motivated, flexible, and enjoys working in a team Desirable but not required: Programming experience, preferably in Python or R, and experience in the Linux environment Experience
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or epigenetics datasets, Strong skills in R programming, Linux shell scripting and Python or another relevant scripting language, Excellent written and spoken English skills. The following will be considered
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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, software analysis and rewriting tools and techniques), LLVM, and fuzzing. Experience with Linux-like environments and software development in the context of large (open-source) software projects is highly
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://github.com/open-sdr/openwifi ). You are also encouraged to design higher networking layer functionality and driver in Linux environment, to fully exploit the distributed MIMO and coordinated multi-AP feature
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solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical thinking as well as a systematic