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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and
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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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Posting Description POSTDOCTORAL ASSOCIATE, Chung Lab, Picower Institute for Learning and Memory, will assume a position under the primary mentorship of Professor Kwanghun Chung and is a pivotal
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assessing behavioural outcomes, including communication (e.g., ultrasonic vocalizations), anxiety, memory, social behaviour, and behavioural despair in preclinical animal models. Experience using zebrafish
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., ultrasonic vocalizations), anxiety, memory, social behaviour, and behavioural despair in preclinical animal models. • Experience using zebrafish models and/or C-section mouse models to study
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced statistical methods. Supported by
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processing, memory and cognitive control using techniques including fMRI, EEG, and psychophysiological recordings (EMG, EDA). Ongoing projects include studies of the prefrontal organization of cognitive
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. This includes investigating how ancient synagogues evoked emotions, shaped memories, and inspired devotion through their sensory landscapes. Although ancient synagogues have thus far constituted the project’s
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, which exert significant influences on learning, memory, and development. Leveraging mathematical models, we aim to formulate a theory that bridges cellular-level plasticity rules and computation