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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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Status and Benefits for more information. Fellows are additionally supported by the Office of Postdoctoral Services . While residence in Durham is strongly preferred, remote work may be considered
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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
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of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals
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experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices
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of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values