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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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letter, short CV with link to Google Scholar/ResearchID/ORCID) should be sent to cepid-b3@iq.usp.br . This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP
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Saves user settings when retrieving integrated YouTube videos. Lifetime Browser session Google Name ANID Use Used for targeting purposes to profile the interests of website visitors in order to display
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, crop yield). -Familiarity with geospatial data and tools (e.g., GIS, QGIS, Google Earth Engine). -Knowledge of explainable AI (e.g., SHAP, LIME), model interpretation, and/or uncertainty quantification
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with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data privacy, security, and ethical considerations in handling clinical
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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growth of the CDS community. Located in the heart of New York City, we foster strong research collaborations with several top technology, media, and financial firms including Google, Meta, IBM, Microsoft
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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should detail your experience and provide factual evidence for it (e.g., specific publications). A scientific CV with contact details and link to your Google Scholar profile. List of publications (and