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Field
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-precision photometry and/or time-series analysis. Research experience in observational astronomy, demonstrated through publications appropriate to your career stage. Solid programming skills (e.g., Python
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 1 day ago
/Harmonized Landsat Sentinel-2 (HLS) time series and develop a self-supervised representation of three-dimensional forest structure from GEDI LiDAR observations, including canopy height, relative-height
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Chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 16 Oct 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time
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with high-precision photometry and/or time-series analysis. Research experience in observational astronomy, demonstrated through publications appropriate to your career stage. Solid programming skills
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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autoregressive time series, diagnostics and model comparison, sensitivity and identifiability analysis, intuitive model interrogation methods and calibration when observations are few or conflicting. You will work
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 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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methods. Expertise in coastal landscape ecology, hydrology, and/or geomorphology. Experience analyzing large, heterogeneous environmental, geospatial, remote-sensing, or time-series datasets. Contact
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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