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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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, communication and networking, and computational and information sciences. A complete application includes: Curriculum Vitae or Resume Three References Forms An email with a link to the reference form will be
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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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development activities, including workshops, lab tours, lectures, poster sessions, seminars, and networking opportunities. A few helpful tips before you start an application: Review the science areas at ORNL
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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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skills, including networking, empathy, emotional intelligence, and enhanced interpersonal skills. Training and preparation for a career path in applied public health laboratory science, public health
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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