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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
to utilize existing multimodal biomass testbeds containing LiDAR-derived aboveground biomass reference measurements paired with Sentinel-1 SAR and Sentinel-2 multispectral time series. Subsequently
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Post Doctoral Associate The Department of Public and Ecosystem Health at Cornell University is seeking applications for one full-time, Contract College benefit-eligible postdoctoral associate with
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University is seeking applications for one full-time, Contract College benefit-eligible postdoctoral associate with one-year appointment. We conduct transdisciplinary research, co-designed with public health
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related quantitative discipline. Strong programming skills in Python for scientific computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday
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engineering and clinical physiology. Projects may involve signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, time-series analysis, machine learning
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decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and Action 8 of the Future Framework for Offshore Renewable Energy and Action 26
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fields. Strong skills in the analysis of time-series data, statistical skills, effective communication, and organizational abilities are essential. A strong track record as evidenced by international
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-experiments for research purposes, Knowledge of online experiment, task and/or survey platforms (e.g. Gorilla, Prolific, etc.), Awareness of time-series, multilevel, Bayesian, or causal inference analysis
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computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday temporal resolution. Background in network science, statistical physics and complex
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analysis, time-series modelling, clinical prediction, risk modelling, survival analysis, causal inference, spatio-temporal modelling, or multimodal data integration. The candidate should be motivated by