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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection
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Wildlife Service, US Forest Service and State wildlife agencies on disease issues at the wildlife and livestock interface around the Greater Yellowstone Region. The current focus of the wildlife disease team
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applications that allow laboratory users to query, visualize, and interpret data; Develop scripts, application programming interfaces, and other tools supporting laboratory workflows; Test, document, validate
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sites. Gain experience working within a large network of public health partners, including opportunities to interface with surveillance sites and other stakeholders and learn approaches for supporting
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expand your research skills and knowledge under the mentorship of PhD-level scientists in entomological-based research, experimental design, and data analysis. Mentor(s): The mentor for this opportunity is
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, especially those planning to pursue a future PhD, DVM, or MD. Learning Objectives: Under the guidance of a mentor and in close collaboration with senior laboratory personnel, you will have the opportunity
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The qualified candidate should be currently pursuing or have received a doctoral degree (including DVM, PhD, and MD) in the one of the relevant fields. Degree must have been received within the past five years
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The qualified candidate should be currently pursuing or have received an associate's, bachelor's, master's, or doctoral degree (including DVM, PhD, and MD) in the one of the relevant fields. Degree must have been
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of large-scale genomic and transcriptomic datasets Experience in high-performance computing environments (e.g., command-line interface, scripting in R/Python, use of common bioinformatics software). Ability
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automation, Application Programming Interface (API) development, and the Microsoft ecosystem (Outlook, Excel) and SharePoint. 1. Applied AI & Workflow Automation Knowledge of low-code/no-code automation