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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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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
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that are collected, and analyzing data collected under the project. There will also be an opportunity to curate, process, and analyze other datasets that are used in various lifespan brain imaging projects in the lab
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. The successful candidate will assume a key role in the lab working closely with the PI and will have ample opportunities to participate in all elements of the scientific process culminating in authorship
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structural neuroimaging, computational modeling, and longitudinal data analysis to investigate the mechanisms of self-referential processing and social motivation/behavior in young people (ages 10 – 25) and
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neuropsychiatric diseases such as drug addiction and depression. To accomplish this, we employ a range of advanced techniques, including in vivo calcium imaging and optogenetic manipulation during behavior, drug
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neuropsychiatric diseases such as drug addiction and depression. To accomplish this, we employ a range of advanced techniques, including in vivo calcium imaging and optogenetic manipulation during behavior, drug
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cognition, physiological measures of health, and measures of environment and lifestyle over a 4 year period. The candidate will assist in participant recruitment, data collection and processing of cognitive
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Medical School, and the UTD Imaging Center where our collaborative MRI equipment is housed. Research resources include two 3T Siemens Prisma MRI scanners as well as a 7T Philips human scanner. The postdoc