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Familiarity with LiDAR data processing, especially GEDI Knowledge of fire ecology and land use change processes Experience with Google Earth Engine or other cloud-based geospatial platforms Experience with
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University & Google DeepMind • A strong consortium of additional theorists and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine
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research IDs (ORCID, Google Scholar, etc.). 2. List of laboratory name(s) in which you wish to participate. 3. List of publications (including preprints) 4. Research statement (summary of current
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...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond! Point of Contact Alyson
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-based image analysis and feature extraction, SWAT, Google Earth Engine, ERDAS IMAGINE, ENVI, R, and/or Python. Analytical ability to include geospatial mapping and data analytics skills using ArcGIS Pro
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models, and empirically test those models with integrated and fused data. Development of data-serving APIs is also part of the work plan and duties for the candidate. The candidate will play a vital role
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Proficient in platforms/tools/languages such as Python, Matlab, QGIS, Google Earth Engine, version-control, C++ processing large datasets Preferred Qualifications: Experience with transdisciplinary work in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
tools for data analysis. 4. Computer programing skills for remotely sensed data analysis. 5. Sound knowledge of remote sensing physics. 6. Experience working with ArcGIS Pro and Google Earth Engine
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battery performance. Relevant publications are available at his Google Scholar page . Applicants do not need to be US citizens. The start date is flexible, with a goal of Summer to early Fall, 2024
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Google Cloud Platform (GCP) or Microsoft Azure, and tools like BigQuery, Vertex AI, or Azure ML Studio is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R