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services. • Comfortable working with PowerShell and automation technologies in cloud environments, including Azure Functions, Azure Automation, Microsoft Graph, and Power Platform administration
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involves entering and maintaining collected data, some graphing and supervised data analysis. Preferred Qualifications: Biology Bachelor's Degree 1-3 years General Lab experience Related course of study, and
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's
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database management via SQL to run queries and extract data. Ability to conceptualize and construct tables and graphs. Working knowledge of statistical terminology. Ability to summarize statistical analyses
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to include graphing data and preparing daily progress notes. All behavioral therapy strategies and intervention components will occur through the implementation of a treatment plan that is prepared and
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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plus · Experience with one or more of representation learning, generative modeling, graph neural networks, transformers, or foundation model pretraining and fine-tuning is a plus
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developing structured and real-time representations of ongoing surgical procedures, for example using scene graphs, geometric representations, and multimodal learning approaches. These representations should
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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 23 hours ago
entry and basic graphs. The research assistant must participate and help with the animal feeding protocol under research. Assist with workshops, seminars, or tours related to the Animal Science Program
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rigs" for components such as intake, nacelle, bypass duct as well as nozzle and mixer. Implementation & training: you prototype selected AI/ML models (e.g. PINNs, graph-based models) within