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of weather station related network infrastructures (e.g., communication hardware, sensors, data loggers) Assists in applicable weather station related network installation projects (e.g., communication
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) and integrate crop–climate models (e.g., DSSAT) to support site-specific irrigation and fertilization recommendations; 3) integrate sensor-based monitoring systems for water table control and soil
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emission of a hydrogen plasma. Extend the quantum computing algorithm to a time-dependent system. Formulate the quantum scattering problem of electron impact ionization and excitation in a hydrogen and
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-specific irrigation and fertilization recommendations; 3) integrate sensor-based monitoring systems for water table control and soil moisture management; 4) design data-driven decision support tools
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printer, boards and electronics, dataloggers, sensors, controllers, autosamplers, multiparameter, real-time sensing systems, soil sampling equipment, and programming software. A bachelor's degree in
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, implementing and/or applying AI algorithms on modern computational platforms, and will have access to the UF HiPerGator, the fastest higher education supercomputer in the United States for higher education
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interpretable AI. We also welcome candidates with interests in emerging areas such as multi-agent learning and the development of foundation models for electronic health records (EHRs). Strong skills in algorithm
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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resistance, 2) assessing the role of phenotypic plasticity in its competitive success, and 3) developing robust methods for spectral phenotyping using ground, drone, and satellite-based sensors. This position
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demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication