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Field
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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computer vision researchers. Analyze large multimodal datasets (simulator videos, eye-tracking videos, joint motion trajectories). Lead and co-author manuscripts and conference presentations. Opportunity
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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(e.g., GPS, IMU, force plate, video-derived data). Applied knowledge and understanding of the training process of professional athletes across performance and rehabilitation contexts. Data management
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the coagulation process - Expertise in fluorescence microscopy; proficiency in fluorescence video microscopy would be appreciated - Expertise in flow cytometry (in vivo immune cells) - Experience in
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, for a Postdoc in climate impacts on hydrological extreme events 80-100% (f/m/d) You will develop data-driven and/or process-based models to assess climate impacts on extreme events, their drivers, and/or
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methods for the processing and analysis of signals, images, videos, and discrete data, addressing theoretical, algorithmic, methodological, and practical challenges. Several of these methods are applied
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-sets, including video data collection and management, and multi-level data analysis Co-authoring and authoring scientific articles for publication and dissemination Disseminating results at international
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of ‘barren plateaus’ - develop and document measurement schemes and data processing protocols to efficiently certify key quantum resources (such as entanglement fidelity), minimizing experimental overhead