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promoting open science practices, including preregistration, transparent data workflows, and reproducible analyses. While there will be limited scope to develop fully independent research lines at the outset
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. Applications will be accepted until the position is filled. Job profile The successful candidate will train recurrent neural networks to learn the generative structure of existing behavioral, EEG and MEG data
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data analysis is critical. WHAT WE ARE LOOKING FOR You hold a doctoral degree in Biology, (Bio)medical Sciences, Biotechnology, Bioinformatics or equivalent, or a diploma or certificate in any
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, and brain computer interface tasks. This project will support our goal of testing the Controllosphere Theory of cognitive effort (see doi 10.1037/rev0000467). A Ph.D. and background in computational
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across generations. Your responsibilities will include: - Leading multimodal neurophysiology data collection in real-world environments (e.g., community storytelling events, public spaces, and art/science