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community members. Strong written communication skills. Preferred Qualifications: Experience with computational tools for microbiome sequencing analysis (e.g., HUMAnN, MetaPhlAn, or similar). Proficiency in
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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.). Monitor and evaluate new social media tools, trends, and applications to increase social media followers and engagement. Attend events as needed to take photos and video. Create graphics for social media
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Southern Illinois University - School of Medicine | Springfield, Illinois | United States | 19 days ago
& Abilities (KSA's) Knowledge of computer skills including Word, Excel, and PowerPoint Knowledge of process improvement methodology and tools Knowledge of data collection methodology Knowledge of basic
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» Modelling tools Engineering » Control engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe
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California State University, Long Beach | Long Beach, California | United States | about 5 hours ago
field Experience providing library support and services to engineering and/or STEM disciplines in an academic setting Knowledge of or experience with AI tools, data analysis, or machine learning
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insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records
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will have master's level training in biostatistics, computer/data science (coding), or epidemiology. This position will work alongside our team's epidemiologist and clinical data manager, and primarily
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. - Knowledge of network and computer operating systems, as well as network services, protocols, and standards. - Utilize working knowledge of packet-level analysis tools. - Familiarity with Virtual Local Area