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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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analytical tools, including software and open-source resources, to evaluate, analyze, interpret, and communicate scientific information relevant to environmental and public health. Training will include
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for extended periods, and may require occasional lifting of field gear containers weighing up to 40 pounds. Data entry in the field utilizes rugged computer tablets and QGIS software. Housing costs and round
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established software tools, with opportunities to explore and evaluate emerging analytical approaches. Gain experience measuring physiological responses to root treatments and characterizing plant traits
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, tested, and refined. The experience includes opportunities to learn about CFD/FSI techniques, open-source scientific software development, interface design for technical tools, and strategies for creating
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agar plates and liquid media, and metabolic extractions, etc. is a plus. Proficient with Microsoft Office Software. Experience in multidisciplinary research teams, excellent communication skills, and an
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reviews, statistical programming and analysis using software such as SAS, SUDAAN, and R, data interpretation and visualization, scientific writing, and scientific communication. You will also develop skills
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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reporting lab activities Strong written and verbal communication skills and organizational skills Proficient use of different computer programs (Microsoft Office and lab analysis software) Strong
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, or related data manipulation and analysis software Strong scientific and technical writing skills Experience with analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross