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. This position is fully funded by external grants from NOAA. Computational modeling will be utilized, and a wide range of in-situ and remotely-sensed data, analytical and statistical tools/methods
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the academic promotions process. About You A minimum of a completion of PhD or an equivalent level of experience in remote sensing, mathematics, physics, science, geography or other related areas. A growing
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dialogue. Projects may span specific application domains like healthcare and education, but will always emphasize generalization and broader impact. Specific sensing modalities include monocular RGB imagery
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opportunities via the academic promotions process. About You Completion of a PhD in ecology, ecological modelling, time series data and/or remote sensing. A growing profile in research in vegetation ecology
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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
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QuPID ), QRI is driving next-generation Quantum Light Information Technology (QLIT), including Plug-and-Quantum-Sense Chips, quantum transduction, atomic qubits, and quantum error correction. Postdoctoral
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assessing feasibility, acceptability, impact on awareness, sense of belonging, accommodation utilization, and overall satisfaction. Reporting & Dissemination Prepare comprehensive reports, evaluation
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the model to constrain future calving losses from the Antarctic Ice Sheet. Candidates are expected to hold a PhD in glaciology or related discipline, including experience of remote sensing and/or numerical
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with remote sensing applications (e.g., InSAR, thermal IR). Experience in teaching, supervision, or scientific outreach. Please note We do not expect any single applicant to possess all desired
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to assess the impacts of different land cover scenarios on local and regional climate. You will evaluate models against in-situ and remote sensed observations of climate. You will have (or be close to