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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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with PhD students and the other PDRAs of the Prosperity Partnership. The PDRA will report on project progress and outcomes to the Prosperity Partnership Management Group, as well as participating in
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practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data
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) Advanced statistical evaluations (in particular machine learning-based analyses and research syntheses such as scoping/systematic reviews, meta-analyses and meta-science approaches) Leading functions in data
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recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. Theoretical research into the capabilities of quantum computing and quantum
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to have strong mathematical and programming skills (e.g. Python, C++), knowledge of computer vision, data mining and/or robotics tools (e.g. ROS/ROS2, OpenCV, scikit-learn, tensorflow, pytorch) and be able
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desirable. - Strong analytical skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential Click the 'Apply' button below
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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to join the Oxford-Novartis Collaboration in AI Medicine team at Nuffield
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(https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing Laboratories (LTS5
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. Candidates with strong track records in tropical geometry, machine learning, and related areas are encouraged to apply. Applications are particularly welcome from women and minority ethnic candidates, who