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analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus. Experience working in a Linux environment preferred. Experience working in high-performance computing environments
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and the Linux programming environment. Candidates with background in Physics, Physical Chemistry and Engineering are desirable. Candidates with only prior experience in empirical methods like docking
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achievements in the broader areas of cybersecurity, applied cryptography, and/or hardware security. Experience with Linux and high-performance computing environments. Excellent programming skills in modern
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/co-first-author original research papers. - Strong programming skills in Python or R, and Linux Shell. - Creative, independent, and highly motivated, with good communication skills Preferred
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instrument programming. Interest in software development, in particular, expertise in C or C++ and Linux/Unix programming and Python. Familiarity with scientific productivity, as demonstrated by publications
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, or similar libraries. Familiarity with version control and collaborative development tools, including GitHub. Proficiency in Unix/Linux environments, including scripting with bash. Exceptional written and
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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication
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to have strong data analytic and programming skills in Python and/or R, as well as proficiency in Unix/Linux system. Review of applications will begin immediately and will continue until the position is
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is expected. Excellent programming skills (R or Python, Linux shell scripting) and experience with high performance computing in Linux environment is required. Yale University is an Equal Opportunity
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such as Python, and experience with Linux cluster computing environment is strongly preferred. Candidates should hold a PhD or equivalent doctoral degree in biostatistics, human genetics, bioinformatics