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(including numerical optimisation, variational methods and MCMC sampling) C3 State-of-the-art deep learning (including transformers, graph neural networks and normalising flows) C4 Use of GPU programming and
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on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record
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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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about applying deep learning to decode the regulatory grammar of plant genomes and translating predictions into testable biological hypotheses, we invite you to join the Omics Data Analysis and
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, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been received within the last
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. You can address … Where to apply Website https://www.academictransfer.com/en/jobs/362999/phd-position-cognitive-guidance… Requirements Additional Information Website for additional job details https
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one or more of the following areas is meriting: Bayesian statistics, mathematical modelling, probabilistic machine learning, deep learning, large language models. Rules governing PhD students are set
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-binding and deep-learning neural networks. These methods will be integrated into the next-generation Amber software suite used worldwide. The project is to design and implement new high-performance software
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ElastoGravity Signals. Journal of Geophysical Research: Machine Learning and Computation, 1, e2024JH000360. https://doi.org/10.1029/2024JH000360 Juhel, K., Hourcade, C., & Bletery, Q. (2024). PEGSGraph : GNN
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plus Proficiency in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research