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Location: The Francis Crick Institute, London Short summary We are seeking an ambitious Postdoctoral Fellow to develop the next generation of deep mechanistic models (DMMs; Fabrini & Fröhlich
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with deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as
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earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. Documented experience in machine learning, in particular deep generative
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-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and functional evolution
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to lead transformative research in formal methods for safe reinforcement learning. Overview. The FMAI lab at Imperial is seeking highly motivated and talented Postdoctoral Research Associates (PDRAs
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, Wallumattagal Campus, North Ryde The Role An exciting opportunity for a Postdoctoral Researcher exists in the School of Natural Sciences at Macquarie University. We are seeking a qualified candidate to join a
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prospection with the FLAIR's strengths in developing new multi-objective deep reinforcement learning algorithms, to support decision makers under uncertainty. VUB team:Prof. dr. Ralf Vandam (AMGC), Prof. dr
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Postdoctoral Associate Postdoctoral Associate: Statistical Integration of eBird and Acoustic Data Cornell Lab of Ornithology College of Agriculture & Life Sciences Ithaca NY The College
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but are not limited to modern survival analysis, high-dimensional statistical inference, AI and machine learning, deep learning and its statistical foundations, causal inference, statistical methods
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or similar. They will have in-depth knowledge of and demonstrated experience of current models for deep learning and machine learning, and strong quantitative (in silico) analysis skills and experience using