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Field
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Experience with Linux-based systems and networking concepts Experience with cyber-physical systems, industrial networks, or operational technology (OT) Language requirement: Good oral and written communication
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professional experience in bioinformatics, computational biology, or a related field. Proficiency with Linux operating systems is essential, as is the ability to analyse and interpret large datasets and apply
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
population genomics, GWAS, and/or QTL analysis. Proficiency in computational/data analysis environments (R, Python, Unix/Linux, HPC systems). Strong communication skills and ability to work effectively within
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field - Strong quantitative and statistical background and related software and programming language proficiency (e.g., R, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote
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bioinformatics, computational biology, or a related field. Proficiency with Linux operating systems is essential, as is the ability to analyse and interpret large datasets and apply critical evaluation to current
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doctoral degree, in the scientific area of Electrical and Computer Engineering [JB2.1][JB3.1]knowledge of generative neural networks, C++ and Python programming, able to use Docker container platform, Linux
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proficiency in analyzing and interpreting genome-scale datasets are highly desired. Preferred skills: Computational focus with field and laboratory experience Experience in Linux and computational languages
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-throughput sequencing data; c) Knowledge of the Linux operating system and of computer programming languages, including Python. Workplan and objectives to be achieved: a) Management, archiving, and analysis
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. · Experience in Linux-based environments. · Experience mentoring students and contributing to grant proposals. · Some experience in fabrication (e.g., 3D printing). Position Type Research Additional Information
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Experience in Linux and computational languages including R, and Perl or Python Experience in AI/ML modeling Knowledge of genetics, next-generation sequencing, genome assembly and annotation Strong oral and