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develops cutting-edge single cell omics, imaging and microfluidics tools to investigate on lineages commitment, cell type evolution and cell-cell interactions (e.g. Cao et al., Nature 2019; Lemaire et al
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tagging, closed-loop optogenetic manipulation, calcium imaging, and neuropixels recordings. Our aim is to elucidate the mechanisms at the circuit level that underpin basal ganglia function and its
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machines. The project involves using the output data from machine learning models of face identification to compile sets of face identification images to be used for testing purposes. The Research Associate
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be responsible for mouse handling and colony management Conduct mouse behavior testing Perform mouse surgical techniques Primary cell culture In vitro calcium imaging Whole cell patch clamp
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pipelines for large-scale and massively parallel data processing and modeling of transcriptomic and imaging data. You will lead computational projects, participate in research activities of the laboratory as