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Description You will: * Lead MEG head-cast data collection for a visuomotor reaching/interception study, ensuring robust synchronization with video-based kinematics and eye-tracking, and enforce rigorous
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Ko Sugawara (AI-based cell tracking) and Théo Vart (video-game-based tracking and outreach). The Institut de Génomique Fonctionnelle de Lyon (IGFL) is an internationally renowned research centre
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generated images and videos (Deepfakes) are increasingly realistic from a vi- sual point of view. Their use to manipulate information is obvious. Several methodologies for generating semantic content exist
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#) - Knowledge of Virtual and Mixed Reality technologies - Experience in Human-Computer Interaction and/or VR/MR Additional Valued Skills - Interest in history, memory studies, and/or video games - Personal
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of the main developers of the SMILEI PIC code) and the development of advanced electron beam diagnostics. The group also operates several test benches for beam magnets and diagnostics, which will be available
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machine learning - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results - Integration within the BioDiv team at IBENS - Availability of work
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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approach that includes cross-section calculations, the development of Monte Carlo codes, and the advancement of the NanOx model for biological dose prediction. As part of a collaboration with the University
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines