231 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Zintellect
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comfortable observing, handling, and caring for plants and insects, while also setting up eavesdropping devices and analyzing data derived from the instrumentation. Learning outcomes will center on plant
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,” an autonomous environmental robot outfitted with GPS, a downward-facing camera to capture images of surficial sediment, and an onboard machine learning model for image processing. SandHound will be capable
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learn best practices in instructional design and health communication, including web communication, application of CDC’s quality training standards, user experience, digital content design, and plain
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development, and evaluation, by learning to implement automation, integrating data across systems (SharePoint, Teams, Salesforce, and 1CDP (Palantir System), and creating operational dashboards under
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crop area and learn basic agronomic, data collection, and plant breeding methodologies in trials and nurseries planted at the USDA-ARS. Learning Objectives: The project assignments will provide you with
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disease (CWD), other wildlife diseases, and feral swine impacts. You will engage with ecological and wildlife management datasets and learn how quantitative and statistical tools are applied to address real
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& Amputation Center of Excellence (EACE) is a unique organization within the Department of War (DoW) consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities
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where new health hazards (such as vapor intrusion or changes in chemical toxicity) have emerged. Learning Objectives: You will have the opportunity to: Learn ATSDR’s approach to conducting public health
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incorporating artificial intelligence/machine learning functions in any of the previously listed training activities. Training is approved for remote appointments. Mentor(s): The mentor for this opportunity is
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the soil-water-plant-air continuum using process-based models. You will learn how to take proper soil, plant and air samples that influence carbon and nitrogen dynamics and learns how soil and plant