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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting- edge deep generative probabilistic models
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involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation, as well as new measures of privacy and
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involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation, as well as new measures of privacy and
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-consequence decisions from vast, complex and uncertain data under significant time pressure. The project advances the state of the art across explainable multi-modal deep learning, causal statistical modelling
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
and experience Experience with 3D parametric body models (i.e. SMPL/MANO/ATLAS/VAREN/etc.) Experience in Computational Geometry, Computer Vision and Deep Learning Accepted publications in one
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recordings. More information on the smartphone can be found here: https://www.kneuhealth.com. The successful applicant will work closely with our senior postdoctoral scientist on Deep learning and Machine
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with a Ph.D. in related fields, with a primary research interest in statistics and the ability to teach a broad range of statistics courses. A successful candidate should demonstrate the ability to teach
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stewards, critical thinkers, and responsible leaders. Among the distinctive features of the university are its deep dedication to civic and community engagement, robust undergraduate research programs, and a
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical