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Field
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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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before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python
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-services-staff for more information. About you The successful candidate will hold (or be in the final stages of completing) a PhD in a relvant field and must have a working knowledge of Linux or Unix-based
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 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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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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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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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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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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datasets, specifically in the areas of RNA-seq and/or pan-genomic analysis. Proficiency in the R or Python programming languages, familiarity in Bioconductor packages and Linux command line. Informal