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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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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 | about 9 hours 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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modeling, and clinical NLP is highly desirable. Experience with cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure, and tools like BigQuery, Vertex AI, or Azure ML Studio is a plus
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: Special Message to Applicants: You can learn more about Professor Xu’s work and the research groups’ activity from links below: Google Scholar Faculty Bio The Environmental Interfacial Chemistry (EIC) Group
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extensive experience developing electrochemical models and simulating battery performance. Relevant publications are available at his Google Scholar page . Applicants do not need to be US citizens. The start
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Science and of Surgery at the Yale School of Medicine. Dr. Kuo is experienced in biomedical blockchain and predictive modeling field with 90+ publications and 3,800+ citations in Google Scholar. Dr. Kuo