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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 6 days ago
site in the PACA region of France. They consist of a mirrored side and a painted side. Rather than resorting to manual computer graphics work, the general aim of the project is to to develop the lightest
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-depth expertise in Computer Vision and Photogrammetry. - Mastery of state-of-the-art Neural Rendering (NeRF, NeuS, SDF). - Knowledge of Photometric Stereo methods. Operational Skills: - Advanced
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Materialist theories Developing appropriate (design) research methods Project management About the project:Thinking with Things is funded by the Austrian Science Fund (FWF) and will start on January 1, 2026. It
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proteins in non-bilaterian animals (sponges, placozoans, cnidarians, ctenophores). The ideal candidate will have a background in biochemistry, cell biology, or evo-devo, and experience applying these methods
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statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological research with biostatistics faculty and collaboration with clinical
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(model-based) systems engineering, whilst applying systems analysis techniques based on formal methods, AI, and optimisation and will be expected to submit publications to top-tier conferences and journals
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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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, or related fields), earned by the start date. Required Related Experience Knowledge of quantitative and/or qualitative social science research methods is required. Required License/Registration
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analytical methods and digital capability for data consumption, organization, validation, storage, and classification of electronic health data. Job Duties Develops analytical methods and digital capability
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 9 days ago
the data payload size and lead to inefficient resource use. Consequently, grant-free methods [1] that eliminate or reduce control traffic are well suited for these scenarios. Removing coordination