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data engineering, applied analytics, and responsible AI. Position Details Hours: Part-time, 5–20 hours per week (flexible scheduling) Pay: $12/hour Appointment type: Hourly Job Duties Typical
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with cloud computing platforms Demonstrated application of AI/ML or advanced analytics to medical imaging, genomics, EHR, or related clinical/preclinical datasets Familiarity with healthcare data formats
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sensors, instruments, and data analytics for such applications. The position responsibilities also include giving periodic progress reports via slide decks and written documents, working as part of a multi
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solutions in digital agriculture. Working closely with the Data Center Director and interdisciplinary teams, the Specialist will help manage infrastructure, develop analytics workflows, ensure data quality
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technologies, as they define when information is processed, transmitted, or measured. As data rates continue to increase (e.g., 5G/6G and terabit optical links), the required timing precision becomes extremely
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of infection using metagenomics, advanced statistical models, and analytical biochemistry. One position to work on an NIH-funded project is available. The project is focused on determining the impact of
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detection, and power grid waveform analytics. You will apply methods traditionally used in wireless communications and signal intelligence — including time-frequency analysis, interference modeling, multi
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work