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Overview This PhD project will take a comprehensive approach to exploring how corporate sustainability disclosure practices evolve in response to the integration of Machine Learning (ML) within
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Your Job: Scientific and technical lead of a team focusing on machine learning and big data analytics in X-ray science Development and application of machine learning tools for X-ray data analysis
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The use of Artificial Intelligence/Machine Learning methods in process optimisation and control is one of the key strategies the formulation industry has adopted to reduce resource and energy
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Machine Learning Software Engineer (Remote) *No Visa Sponsorship is available for this position. About the Cornell Lab of Ornithology The Cornell Lab of Ornithology is a tech-centered conservation
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of Machine Learning for Biomedical Data. Good oral and written communication skills. Hiring Unit: Biomedical Engineering Course Title and Course Number: BMDE 520 - Machine learning for Biomedical Data
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development (R&D) of advanced machine learning (ML) models like Transformers, Vision Transformers, Large Language Models (LLMs) and other advanced deep learning models for vision-based applications. The focus
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be found online. Course Title: Artificial Intelligence & Machine Learning in Drug Development This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing
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creating reference test cases for comparative evaluation of new methods and algorithms. We are seeking a Research Associate specializing in Machine Learning to contribute to the digital analysis and
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The use of Artificial Intelligence/Machine Learning methods in process optimisation and control is one of the key strategies the formulation industry has adopted to reduce resource and energy
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-efficient machine learning framework that leverages graph grammar to inverse-design polymers with tailored thermal and mechanical properties. By interpreting molecules as graph networks, they will train a