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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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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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; Linux or Unix-based computing environments. Creating or maintaining reproducible bioinformatics workflows; Sequence processing, genome assembly, variant analysis, lineage assignment, or phylogenetics
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of the relevant fields. Degree must have been received within the past five years. Public health informatics majors would be the most natural fit. Preferred skills: Proficient in Linux Proficient in Bash and Python
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, ultimately understanding how to identify, characterize, and evaluate known and unknown biothreats. Under the guidance of an experienced mentor, you will advance your skills and knowledge navigating Linux
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Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives