We have openings for several fully-funded positions (PhD & PostDoc) at the intersection of AI/ML, dynamical systems, and neuroscience within a BMFTR-funded Neuro-AI consortium, situated at Heidelberg University & Central Institute of Mental Health Mannheim (Germany). The idea is to develop and train AI foundation models for reconstructing from massive multiple single-unit, Ca2+ imaging, and behavioral data the computational systems and plasticity dynamics underlying flexible rule, in-context, and continual learning in animals.
We have openings for several fully-funded positions (PhD & PostDoc) at the intersection of AI/ML, dynamical systems, and neuroscience within a BMFTR-funded Neuro-AI consortium, situated at Heidelberg University & Central Institute of Mental Health Mannheim (Germany). The idea is to develop and train AI foundation models for reconstructing from massive multiple single-unit, Ca2+ imaging, and behavioral data the computational systems and plasticity dynamics underlying flexible rule, in-context, and continual learning in animals.