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that integrates multi-source observational data (e.g., eddy covariance flux towers, satellite remote sensing, and atmospheric datasets) to investigate how SAI could influence ecosystem carbon fluxes and
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; Four (4) years training in wireless communication / remote sensing; knowledge of Zak-OTFS modulation preferred Experience- Experience with OFDM modulation required Skills- Programming skills in MATLAB
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to climate, environment, or sustainability challenges. • Required skills: o Strong quantitative background, with expertise in one or more of the following: statistical modeling, machine learning, remote
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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requires frequent travel and stay in rural counties in North Carolina. This position is hybrid eligible. The position is partially remote, and the employee must reside in a Duke University-approved state. Be
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this description. Note. This is not a remote-work position. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender