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, ORCA, Q-Chem, xTB, RDKit, ASE, or related tools is highly valued. Interest in machine learning, statistical modeling, active learning, descriptor development, or data-driven reaction prediction. Ability
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of their development and structure. Working closely with colleagues at the Universities of Leeds and Reading, you will integrate theoretical understanding, observational data, and modelling approaches to improve
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supervision. Candidates with 2-3 years of postdoctoral experience are preferred. Experience with AI-driven Earth observation data analysis, physically based modelling, ecological and carbon cycle research
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Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and data-driven modelling techniques, with the ability to apply them to content generation, analytics
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to investigate cancer biology, therapeutic response, immunotherapy, and drug delivery in small-animal models. Design and optimize MRI protocols for longitudinal preclinical studies. Perform quantitative image
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industries. Our research includes developing concepts for renewable-driven technologies and system solutions to decarbonize the chemical and energy industries, including carbon capture, utilization and storage
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Shape workforce confidence in a values-driven university Newly created role to build compliance and capability Build trusted frameworks with lasting organisational impact Australian Catholic
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
developing a complete end-to-end deployment pipeline for AI models, specifically utilizing the Aidge platform and its compilation infrastructure. This infrastructure serves as the software foundation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
undergraduate, graduate, and professional students to be the next generation of data science leaders with the knowledge and skills to thrive in this data-driven world. The Division will serve the state
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with IT professionals and academics to enhance research and teaching through continuous improvement and innovation. These services are research-driven and the postholder will establish close