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nominated to become a core member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics
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addition, recognizes and reports security of physical and electronic data vulnerabilities. Knowledgable about requirements for depositing data and following repository and meta-data specifications for data
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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bioinformatics workflows. Machine Learning (Proficient): Proficient in machine learning techniques (e.g., unsupervised learning, random forest, XGBoost, neural networks, regularization). Communication (Advanced
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Human Genome-Phenome Archive. The position will also be connected to a vibrant local ecosystem for data science and machine learning. Your Tasks The research group of Dr. Brian Clarke is looking for a
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related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application
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community engagement Experience with social media platforms and basic content scheduling tools (e.g., Canva, Buffer, Meta Business Suite) Familiarity with Google Workspace Ability to work independently, meet
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degree in Statistics/Economics/Applied Math/Computer Science or related fields Knowledge of regression analysis, statistical inference, familiarity with machine learning/prediction tools Experience with
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fixed term basis, titled: “What are they thinking? Developing a protocol to measure meta-perspectives in online environments." This project is funded by the ESRC Digital Good research fund, and it
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computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering