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group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration
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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
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. Interested? Contact Prof. Rob Dwyer-Joyce ([email protected]) for more information. Learn More: The Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: https://www.johncrane.com/ More
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and standard of excellence position us to drive the future of higher education. We believe that the university should be a place where people can work and learn together in a safe environment, free of
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complexity of neural representations based on partial information decomposition, Transactions on Machine Learning Research 5
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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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) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as
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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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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