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-Joyce ([email protected]) for more information. Learn More: The Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: https://www.johncrane.com/ More information About the Project
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Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field; a thorough understanding of both information retrieval and deep learning; solid programming skills
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Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning! We are seeking a highly motivated PhD candidate
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strong programming ability is essential. Please share your git in the application. There will be a strong focus on developing machine learning tools and novel molecular representations. The tools developed
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, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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Dynamics (AIMD), and Machine Learning (ML) tools to develop theoretical electrocatalytic frameworks. Hereby, the project will challenge existing research on catalysis, move the boundary of fundamental
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Models and Machine Learning techniques able to "let the data speak" and assess interactions between multiple determinants. The present PhD will focus on the sustainability side of the project and the
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for the power plant. We have an opening for a candidate with an interest in the application of machine learning to particle physics simulation and proven skills in software development. The student would
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Positions: We have an opening for a PhD position in the areas of machine learning and computer vision. The position is supported financially by a SNSF project, whose aim is to build controllable
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nature. Machine learning (ML) tools will be evaluated and developed to simplify and speed-up the analysis and interpretation of the data. These tools will be validated against existing, standardised data