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position within a Research Infrastructure? No Offer Description The project aims at pushing the boundaries of machine learning and reinforcement learning with applications to healthcare data. This project
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multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, and computer science. The project looks at how investigates how robots and
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human cohorts would be a plus. Minimum level of training and/or experience required : Doctorate in Computer Science on a topic related to machine learning or deep learning Research FieldComputer science
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with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
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collaborations with academia, industry, and society. The Data Science & AI division within CSE engages in research and education within a growing area encompassing Data Science, AI, Machine Learning, and its
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education within a growing area encompassing Data Science, AI, Machine Learning, and its applications. About the research This position is part of a joint collaboration between the two of the largest research
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) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors. Design and develop the machine learning algorithms able to provide a good
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experience in analysis of large microbial genomic datasets and design and validation of machine learning models. Metagenomics experience is an advantage. You have proficiency with programming languages e.g
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work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the interface between Network Science and Machine Learning. The goal is to merge the best of the two worlds to produce a new generation of
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Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning and