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proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
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the design, analysis, or implementation of algorithms strong programming skills; experience with Magma or another computer algebra system is highly desirable experience with C/C++ and Linux
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical
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with Linux and R and have good skills in statistics and data summary. Excellent experiences with molecular experiments. Experience in disease or pest evaluation in field or under controlled conditions
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of application. Strong mathematical skills and significant programming experience (e.g. Fortran, Matlab, Python, Linux). Significant experience in numerical modeling and familiar with at least one of
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-dimensional genomic datasets. Strong programming skills in Python and/or R, and experience with Linux/HPC computing environments. Experience with single-cell RNA-seq, single-nucleus RNA-seq, sc/snATAC-seq
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Experience using Linux or Unix, and high-performance computing systems Experience with Python, R, or another scientific programming languages Experience with AI/ML approaches Familiarity with tools like BLAST
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/ROS 2, Linux, Git, and robotic software development. • Hands-on experience integrating robotic software with UAV hardware, cameras, embedded computing platforms (e.g., NVIDIA Jetson), and
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high-performance computing resources (Linux), contributing to scientific publications and grant applications, collaborating with multidisciplinary teams, and ensuring the successful delivery of project
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' bioinformatics experience in functional genomics, multi-omics, comparative genomics or statistical genomics. Demonstrate strong scripting skills using Python, R and Linux-based HPC or cloud environments for large