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Field
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sequencing is highly preferred · Experience with single-cell data analysis · Proficient in Linux/Unix-based high-performance computing (HPC) environments and job schedulers (e.g., SLURM or qsub
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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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foundation in optics, hardware, electronics, and embedded software for space applications, along with proficiency in Linux; Strong programming skills in Python and C are also desired; and Ability to contribute
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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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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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. Experience working in Linux environments, including batch job management on shared computing resources. Familiarity with a variety of supervised and unsupervised classification techniques. Proficiency in one
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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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learning Biobank and electronic health record (EHR) analyses Drug repurposing or translational genomics R, Python, Linux or cloud computing platforms Department Contact for Questions Applicants should submit
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. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory