2,063 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions
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Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
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Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
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in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email [email protected] Applications will
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models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a
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Leibniz-Institut für Astrophysik Potsdam (AIP) | about 2 months ago
modelling. At the core of this newly funded Leibniz ScienceCampus SCALES are next-generation simulation techniques, hybrid modelling strategies, and the use of machine learning, particularly neural networks
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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applied and theoretical innovations in reliable, responsible, real-time, and high performance AI and machine learning, particularly with applications in biology, earth and planetary sciences, sustainability
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with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn Experience with stochastic Machine Learning and uncertainty quantification Experience with multimodal and/or multitemporal