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Field
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to enable downstream APIs and feature services Develop ETL workflows for cross-domain spatial data integration using staged refinement (e.g. Medallion Architecture) Engage with UF faculty leading FLDT
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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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custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction
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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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, and progression outcomes) and high-end compute (hundreds of NVIDIA H100 GPUs) via Mila and the Digital Research Alliance of Canada, and involves active collaborations with Stanford, Oxford, Google
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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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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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, 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